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We have done our best to automaticly identify and name form fields according to our naming conventions. When possible, we've used names tied to our question library. See e.g., user1_name. If we think we've found a match to a question in our library, it is highlighted in green. Novel names are auto generated. So, you will probably need to edit some of them if you're trying to stick to the convention.
Here are the fields we could identify.
plaintiff was Plaintiff (1.00 conf)defendant was Defendant (1.00 conf)full_name__1 was 1 Your full name (0.40 conf)date_birth__1 was 2 Date of birth (0.35 conf)place_birth_city_state__1 was 3 Place of birth city and state (0.43 conf)address_city_state_zip__1 was 4 Address City State Zip (0.32 conf)home_telephone__1 was 5 Home telephone (0.49 conf)work_telephone__1 was 6 Work telephone (0.49 conf)social_security_number__1 was 7 Social security number (0.39 conf)drivers_license__1 was 8 Drivers license no (0.50 conf)professional_license_type__1 was 9 Professional license type and no (0.39 conf)cell_phone__1 was 10 Cell phone (0.39 conf)email_address__1 was 11 Email address (0.41 conf)eye_color__1 was 13 Eye color (0.33 conf)hair_color__1 was 14 Hair color (0.33 conf)height__1 was 15 Height (0.34 conf)weight__1 was 16 Weight (0.34 conf)race__1 was 17 Race (0.35 conf)scars_tattoos_etc__1 was 18 Scars tattoos etc (0.36 conf)fathers_full_name__1 was 19 Your fathers full name (0.43 conf)mothers_full_maiden_name__1 was 20 Your mothers full maiden name (0.32 conf)common_parent_case_row__1 was 21 Children in common with other parent in this caseRow1 (0.40 conf)birthdate_row__1 was BirthdateRow1 (0.24 conf)gender_row__1 was GenderRow1 (0.38 conf)ssn_row__1 was SSNRow1 (0.34 conf)current_grade_level_row__1 was Current grade levelRow1 (0.39 conf)month_year_school_graduation_row__1 was Anticipated month and year of high school graduationRow1 (0.30 conf)child_annually_row__1 was No of overnights you have with child annuallyRow1 (0.33 conf)common_parent_case_row__2 was 21 Children in common with other parent in this caseRow2 (0.40 conf)birthdate_row__2 was BirthdateRow2 (0.24 conf)gender_row__2 was GenderRow2 (0.38 conf)ssn_row__2 was SSNRow2 (0.34 conf)current_grade_level_row__2 was Current grade levelRow2 (0.39 conf)month_year_school_graduation_row__2 was Anticipated month and year of high school graduationRow2 (0.30 conf)child_annually_row__2 was No of overnights you have with child annuallyRow2 (0.33 conf)common_parent_case_row__3 was 21 Children in common with other parent in this caseRow3 (0.40 conf)birthdate_row__3 was BirthdateRow3 (0.24 conf)gender_row__3 was GenderRow3 (0.38 conf)ssn_row__3 was SSNRow3 (0.34 conf)current_grade_level_row__3 was Current grade levelRow3 (0.39 conf)month_year_school_graduation_row__3 was Anticipated month and year of high school graduationRow3 (0.30 conf)child_annually_row__3 was No of overnights you have with child annuallyRow3 (0.33 conf)minor_support_row__1 was 22 Names of other biologicaladopted minor children you supportRow1 (0.42 conf)birthdate_row__4 was BirthdateRow1_2 (0.27 conf)address_row__1 was AddressRow1 (0.36 conf)minor_support_row__2 was 22 Names of other biologicaladopted minor children you supportRow2 (0.42 conf)birthdate_row__5 was BirthdateRow2_2 (0.27 conf)address_row__2 was AddressRow2 (0.36 conf)minor_support_row__3 was 22 Names of other biologicaladopted minor children you supportRow3 (0.42 conf)birthdate_row__6 was BirthdateRow3_2 (0.27 conf)address_row__3 was AddressRow3 (0.36 conf)occupation__1 was 25 Your occupation (0.40 conf)employer_unemployed_last__1 was 26 Your employer if unemployed name of last employer (0.37 conf)employers_address_city_state__1 was 27 Employers address City State Zip (0.36 conf)date_hired__1 was 28 Date hired (0.37 conf)weekly__1 was weekly (0.28 conf)bimonthly__1 was bimonthly (0.32 conf)monthly__1 was monthly (0.28 conf)dependents_claimed was dependents claimed (0.47 conf)married was married (0.36 conf)single was single (0.32 conf)head_household was head of household (0.45 conf)total_regular_per_pay_period was 32 Total regular hours worked per pay period (0.27 conf)circuit was Circuit (0.33 conf)county was County (0.39 conf)judge was Judge (0.39 conf)telephone was Telephone no (0.44 conf)friend_court_address was Friend of the court address (0.41 conf)biweekly__1 was biweekly (0.32 conf)yes__1 was yes2 (0.35 conf)no2 was no2 (0.39 conf)yes__2 was yes1 (0.35 conf)no1 was no1 (0.42 conf)text__1 was Text5 (0.35 conf)text__2 was Text6 (0.35 conf)text__3 was Text7 (0.35 conf)text__4 was Text8 (0.35 conf)yes__3 was yes3 (0.35 conf)no3 was no3 (0.39 conf)male__1 was male (0.40 conf)female__1 was female (0.38 conf)second_job was 34 Second job (0.33 conf)employer was 35 Employer (0.33 conf)employers_address_city_state__2 was 36 Employers address City State Zip (0.36 conf)date_hired__2 was 37 Date hired (0.38 conf)weekly__2 was weekly_2 (0.28 conf)biweekly__2 was biweekly_2 (0.33 conf)bimonthly__2 was bimonthly_2 (0.33 conf)monthly__2 was monthly_2 (0.28 conf)hourly_pay_rate was 39 Hourly pay rate (0.31 conf)average_per_pay_hire_date was 40 Average hours worked per pay period since hire date (0.32 conf)unemployed_unemployment_workers was 41 If unemployed and not receiving unemployment or workers compensation benefits or working parttime only provide the following information (0.42 conf)name_last_fulltime_employer was Name of last fulltime employer (0.40 conf)last_fulltime_employer was Address of last fulltime employer (0.42 conf)held_place_employment was Postition held at last place of fulltime employment (0.38 conf)last_day_employed_fulltime was Last day employed fulltime (0.30 conf)time_last_position was Length of time employed in last fulltime position (0.30 conf)reason_leaving_last was Reason for leaving last fulltime employment (0.34 conf)pay_earnings_weekly_monthly was Gross earings per pay period earnings before taxes weekly biweekly bimonthly monthly (0.39 conf)undefined__1 was undefined (0.38 conf)undefined__2 was undefined_2 (0.39 conf)undefined__3 was undefined_3 (0.39 conf)undefined__4 was undefined_4 (0.39 conf)unemp_benefits was Unemp Benefits (0.42 conf)commissions__1 was Commissions 1 (0.44 conf)commissions__2 was Commissions 2 (0.44 conf)armed_services was Armed Services (0.41 conf)allowance_rent was Allowance for Rent (0.52 conf)sick_benefits was Sick Benefits (0.40 conf)natl_guard_res_drill_pay__1 was Natl Guard Res Drill Pay 1 (0.37 conf)natl_guard_res_drill_pay__2 was Natl Guard Res Drill Pay 2 (0.37 conf)natl_guard_res_drill_pay__3 was Natl Guard Res Drill Pay 3 (0.37 conf)natl_guard_res_drill_pay__4 was Natl Guard Res Drill Pay 4 (0.37 conf)profit_sharing__1 was Profit Sharing 1 (0.36 conf)profit_sharing__2 was Profit Sharing 2 (0.36 conf)profit_sharing__3 was Profit Sharing 3 (0.36 conf)profit_sharing__4 was Profit Sharing 4 (0.36 conf)workers_comp was Workers Comp (0.45 conf)spousal_support_alimony was Spousal SupportAlimony (0.40 conf)soc_sec_benefits was Soc Sec Benefits (0.37 conf)pensions_longevity was PensionsLongevity (0.36 conf)v_benefits was VA Benefits (0.36 conf)state_disability_assistance__1 was State Disability Assistance 1 (0.45 conf)state_disability_assistance__2 was State Disability Assistance 2 (0.45 conf)deferred_comp_ir__1 was Deferred CompIRA 1 (0.44 conf)deferred_comp_ir__2 was Deferred CompIRA 2 (0.44 conf)disability_insurance was Disability Insurance (0.38 conf)other was Other (0.43 conf)supp_security_income_ss__1 was Supp Security Income SSI 1 (0.42 conf)supp_security_income_ss__2 was Supp Security Income SSI 2 (0.42 conf)no_4 was No_4 (0.39 conf)yes_payer was Yes as payer (0.52 conf)yes_recipient was Yes as recipient (0.44 conf)amount_order_include was a Amount of order do not include arrearages (0.39 conf)b_type_order_case was b Type of orderCase no (0.40 conf)c_city_county_state was c City county and state (0.42 conf)childs_name_row__1 was Childs NameRow1 (0.33 conf)amount_monthly_row__1 was Amount monthlyRow1 (0.29 conf)dependent_benefit_row__1 was Source of dependent benefit mother father stepparentRow1 (0.42 conf)childs_name_row__2 was Childs NameRow2 (0.33 conf)amount_monthly_row__2 was Amount monthlyRow2 (0.29 conf)dependent_benefit_row__2 was Source of dependent benefit mother father stepparentRow2 (0.42 conf)childs_name_row__3 was Childs NameRow3 (0.33 conf)amount_monthly_row__3 was Amount monthlyRow3 (0.29 conf)dependent_benefit_row__3 was Source of dependent benefit mother father stepparentRow3 (0.42 conf)work_yes_please was 46 Do you have any medical conditionsrestrictions that affect your ability to work If yes please explain medical conditionrestriction Yes No (0.44 conf)undefined__5 was undefined_6 (0.39 conf)undefined__6 was undefined_7 (0.39 conf)less_high_school was less than high school (0.32 conf)high_school_graduate was High school graduate (0.37 conf)trade_school_graduate was Trade school graduate (0.27 conf)associates_degree was Associates degree (0.32 conf)bachelors_degree was Bachelors degree (0.32 conf)graduate_degree was Graduate degree (0.38 conf)text__5 was Text9 (0.35 conf)text__6 was Text10 (0.35 conf)ss_row__1 was SSI_row1 (0.42 conf)dependent_row__1 was Dependent_row1 (0.38 conf)ss_row__2 was SSI_row2 (0.42 conf)dependent_row__2 was Dependent_row2 (0.38 conf)ss_row__3 was SSI_row3 (0.42 conf)dependent_row__3 was Dependent_row3 (0.38 conf)yes__4 was yes4 (0.35 conf)no4 was no4 (0.36 conf)insurance_number_date__1 was 48 Medical insurance company name address telephone no PolicyGroup number Beginning date if known (0.44 conf)policy_number_date__1 was 49 Dental insurance company name address telephone no PolicyGroup number Beginning date if known (0.43 conf)policy_number_date__2 was 50 Optical insurance company name address telephone no PolicyGroup number Beginning date if known (0.48 conf)medical__1 was Medical (0.41 conf)optical__1 was Optical (0.42 conf)available_cost_pay__1 was 52 What dependent coverage is available by payment of an additional premium Specify cost per pay period (0.36 conf)per__1 was per (0.32 conf)undefined__7 was undefined_8 (0.39 conf)per__2 was per_2 (0.23 conf)medical__2 was Medical_2 (0.37 conf)dental__1 was Dental_2 (0.34 conf)optical__2 was Optical_2 (0.43 conf)undefined__8 was undefined_9 (0.39 conf)per__3 was per_3 (0.23 conf)name_childcare_provider was Name of childcare provider (0.37 conf)children_receiving_child_care was Names of children receiving child care (0.42 conf)number_provided_calendar_year__1 was Number of weeks provided during last calendar year (0.29 conf)number_provided_calendar_year__2 was Estimated number of weeks of child care provided in this calendar year (0.28 conf)weekly_childcare_cost was Current weekly childcare cost (0.43 conf)amount_childcare_federal_tax was Amount of childcare credit received on last years federal IRS tax return (0.47 conf)agency_public_private_entity was Does a federal or state agency or a public or private entity contribute all or a portion of the cost of childcare services If yes please explain (0.45 conf)work_related was Work related (0.38 conf)looking_employment was Looking for employment (0.40 conf)enrolled_educational_program was Enrolled in educational program to (0.37 conf)estimated_number_hours_per__1 was Estimated number of hours per week 1 (0.36 conf)estimated_number_hours_per__2 was Estimated number of hours per week 2 (0.36 conf)estimated_number_hours_per__3 was Estimated number of hours per week 3 (0.36 conf)total_classroom_hours_per_week was Total classroom hours per week (0.32 conf)educational_goal was Educational goal (0.35 conf)unknown__1 was 1 (0.38 conf)unknown__2 was 2 (0.38 conf)text__7 was Text14 (0.35 conf)text__8 was Text15 (0.35 conf)yes__5 was yes5 (0.35 conf)no5 was no5 (0.39 conf)policy_groupno__1 was Policy/groupno_1 (0.33 conf)beginning_date__1 was beginning date_3 (0.42 conf)beginning_date__2 was beginning date_1 (0.42 conf)policy_groupno__2 was Policy/groupno_2 (0.33 conf)beginning_date__3 was beginning date_2 (0.42 conf)policy_groupno__3 was Policy/groupno_3 (0.33 conf)dental__2 was Dental (0.37 conf)name_row__1 was Name_row1 (0.43 conf)optical_row__1 was Optical_row4 (0.42 conf)medical_row__1 was Medical_row1 (0.41 conf)birthdate_row__7 was birthdate_row1 (0.24 conf)relationship_row__1 was Relationship_row1 (0.39 conf)dental_row__1 was Dental_row1 (0.37 conf)optical_row__2 was Optical_row1 (0.42 conf)name_row__2 was Name_row2 (0.43 conf)birthdate_row__8 was birthdate_row2 (0.24 conf)relationship_row__2 was Relationship_row2 (0.39 conf)medical_row__2 was Medical_row2 (0.41 conf)dental_row__2 was Dental_row2 (0.37 conf)optical_row__3 was Optical_row2 (0.42 conf)name_row__3 was Name_row3 (0.43 conf)birthdate_row__9 was birthdate_row3 (0.24 conf)relationship_row__3 was Relationship_row3 (0.39 conf)medical_row__3 was Medical_row3 (0.41 conf)dental_row__3 was Dental_row3 (0.37 conf)optical_row__4 was Optical_row3 (0.42 conf)name_row__4 was Name_row4 (0.43 conf)birthdate_row__10 was birthdate_row4 (0.24 conf)relationship_row__4 was Relationship_row4 (0.39 conf)medical_row__4 was Medical_row4 (0.41 conf)dental_row__4 was Dental_row4 (0.37 conf)full_name__2 was 58 Full name (0.40 conf)date_birth__2 was 59 Date of birth (0.43 conf)place_birth_city_state__2 was 60 Place of birth city and state (0.41 conf)address_city_state_zip__2 was 61 Address City State Zip (0.28 conf)home_telephone__2 was 62 Home telephone (0.49 conf)work_telephone__2 was 63 Work telephone (0.48 conf)social_security_number__2 was 64 Social security number (0.40 conf)drivers_license__2 was 65 Drivers license no (0.50 conf)professional_license_type__2 was 66 Professional license type and no (0.40 conf)cell_phone__2 was 67 Cell phone (0.41 conf)email_address__2 was 68 Email address (0.44 conf)eye_color__2 was 70 Eye color (0.34 conf)hair_color__2 was 71 Hair color (0.34 conf)height__2 was 72 Height (0.39 conf)weight__2 was 73 Weight (0.39 conf)race__2 was 74 Race (0.30 conf)scars_tattoos_etc__2 was 75 Scars tattoos etc (0.41 conf)fathers_full_name__2 was 76 Fathers full name (0.37 conf)mothers_full_maiden_name__2 was 77 Mothers full maiden name (0.36 conf)minor_children_row__1 was 78 Names of other biologicaladopted minor children heshe supportsRow1 (0.47 conf)birthdate_row__11 was BirthdateRow1_3 (0.27 conf)address_row__4 was AddressRow1_2 (0.35 conf)minor_children_row__2 was 78 Names of other biologicaladopted minor children heshe supportsRow2 (0.47 conf)birthdate_row__12 was BirthdateRow2_3 (0.27 conf)address_row__5 was AddressRow2_2 (0.35 conf)minor_children_row__3 was 78 Names of other biologicaladopted minor children heshe supportsRow3 (0.47 conf)birthdate_row__13 was BirthdateRow3_3 (0.27 conf)address_row__6 was AddressRow3_2 (0.35 conf)occupation__2 was 81 Occupation (0.36 conf)employer_unemployed_last__2 was 82 Employer if unemployed name of last employer (0.41 conf)employers_address_city_state__3 was 83 Employers address City State Zip (0.34 conf)date_hired__3 was 84 Date hired (0.38 conf)gross_earnings_per_pay_taxes was 85 Gross earnings per pay period earnings before taxes (0.42 conf)average_hours_past_months was 86 Average overtime hours for past 12 months (0.33 conf)insurance_number_date__2 was 87 Medical insurance company name address telephone no PolicyGroup number Beginning date if known (0.44 conf)policy_number_date__3 was 88 Dental insurance company name address telephone no PolicyGroup number Beginning date if known (0.43 conf)policy_number_date__4 was 89 Optical insurance company name address telephone no PolicyGroup number Beginning date if known (0.46 conf)medical__3 was Medical_3 (0.37 conf)dental__3 was Dental_3 (0.34 conf)optical__3 was Optical_3 (0.43 conf)available_cost_pay__2 was 91 What dependent coverage is available by payment of an additional premium Specify cost per pay period (0.36 conf)per__4 was per_4 (0.23 conf)undefined__9 was undefined_13 (0.39 conf)per__5 was per_5 (0.23 conf)medical__4 was Medical_4 (0.37 conf)dental__4 was Dental_4 (0.34 conf)optical__4 was Optical_4 (0.43 conf)undefined__10 was undefined_14 (0.39 conf)per__6 was per_6 (0.23 conf)male__2 was male2 (0.35 conf)female__2 was female2 (0.35 conf)yes__6 was yes6 (0.35 conf)no6 was no6 (0.35 conf)yes__7 was yes7 (0.35 conf)no7 was no7 (0.42 conf)yes__8 was yes8 (0.35 conf)no8 was no8 (0.37 conf)text__9 was Text16 (0.35 conf)policy_groupno__4 was Policy/groupno_4 (0.33 conf)beginning_date__4 was beginning date_4 (0.42 conf)policy_groupno__5 was Policy/groupno_5 (0.33 conf)beginning_date__5 was beginning date_5 (0.42 conf)policy_groupno__6 was Policy/groupno_6 (0.33 conf)beginning_date__6 was beginning date_6 (0.42 conf)name_row__5 was Name_row5 (0.43 conf)birthdate_row__14 was birthdate_row5 (0.24 conf)relationship_row__5 was Relationship_row5 (0.39 conf)medical_row__5 was Medical_row5 (0.41 conf)dental_row__5 was Dental_row5 (0.37 conf)optical_row__5 was Optical_row5 (0.42 conf)name_row__6 was Name_row6 (0.43 conf)birthdate_row__15 was birthdate_row6 (0.24 conf)relationship_row__6 was Relationship_row6 (0.39 conf)medical_row__6 was Medical_row6 (0.41 conf)dental_row__6 was Dental_row6 (0.37 conf)optical_row__6 was Optical_row6 (0.42 conf)name_row__7 was Name_row7 (0.43 conf)birthdate_row__16 was birthdate_row7 (0.24 conf)relationship_row__7 was Relationship_row7 (0.39 conf)medical_row__7 was Medical_row7 (0.41 conf)dental_row__7 was Dental_row7 (0.37 conf)optical_row__7 was Optical_row7 (0.42 conf)name_row__8 was Name_row8 (0.43 conf)birthdate_row__17 was birthdate_row8 (0.24 conf)relationship_row__8 was Relationship_row8 (0.39 conf)medical_row__8 was Medical_row8 (0.41 conf)dental_row__8 was Dental_row8 (0.37 conf)optical_row__8 was Optical_row8 (0.42 conf)request_pursuant_enforcement was I request childsupport services pursuant to the childsupport enforcement program of Title IVD of the Social (0.40 conf)signature_date was Date (1.00 conf)text__10 was Text21 (0.35 conf)The Weaver creates a draft guided interview from a template form, like the one provided here. To learn more, read "Weaving" your form into a draft interview.