{"id":"W4361014558","doi":"10.2139/ssrn.4397876","title":"Family Immigration Policy and Women's Employment","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; RTDS Technologies (Canada)","funders":"","keywords":"Immigration; Immigration policy; Demographic economics; Labour economics; Political science; Business; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001775378,0.000142887,0.0002501357,0.001094621,0.00477633,0.003372874,0.0004876786,0.002068915,0.02570538],"category_scores_gemma":[0.006200754,0.0001259557,0.0002531501,0.001683535,0.002053932,0.001702819,0.001802015,0.001398596,0.0007742572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003695066,"about_ca_system_score_gemma":0.005857158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04273586,"about_ca_topic_score_gemma":0.0936828,"domain_scores_codex":[0.9988438,0.0004354875,0.00002474609,0.00004361037,0.0000528063,0.0005995154],"domain_scores_gemma":[0.995933,0.001656893,0.0006508496,0.00007131213,0.000197278,0.001490685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001314412,0.001497655,0.5814615,0.0002045984,0.0001066165,0.00284692,0.0593487,0.001237973,0.0003746506,0.2451599,0.01877848,0.08766855],"study_design_scores_gemma":[0.0001578396,0.0005983096,0.565607,0.001066238,0.00009504997,0.0008542425,0.2893813,0.0008547853,0.0003568815,0.05185603,0.08912534,0.00004707115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8800991,0.003930678,0.0001500456,0.03744231,0.0002170533,0.00001502665,0.0002619401,0.000006628182,0.07787727],"genre_scores_gemma":[0.9899611,0.001095899,0.000025762,0.0007039531,0.00006744325,0.000009232904,0.00002920782,0.000002829935,0.008104513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04273586,"threshold_uncertainty_score":0.08599299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00922069747129212,"score_gpt":0.2919255906599676,"score_spread":0.2827048931886755,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}