{"id":"W2012963789","doi":"10.15185/izawol.119","title":"Are married immigrant women secondary workers?","year":2014,"lang":"en","type":"article","venue":"IZA World of Labor","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Immigration; Demographic economics; Sociology; Psychology; Political science; Economics","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":[0.001722988,0.0001533318,0.0004350012,0.0008641075,0.001625009,0.00243529,0.0005454274,0.00158759,0.006478462],"category_scores_gemma":[0.006990089,0.0003228225,0.0002929505,0.001080223,0.001721595,0.002282157,0.001015743,0.001124906,0.001038365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004616822,"about_ca_system_score_gemma":0.001073642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01069745,"about_ca_topic_score_gemma":0.009368866,"domain_scores_codex":[0.9992657,0.0002361827,0.00004735625,0.0001006988,0.00009546596,0.0002546099],"domain_scores_gemma":[0.9982756,0.0004268673,0.0004780074,0.0001078045,0.0001808226,0.0005309309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002351142,0.0004196698,0.7321818,0.0004980226,0.0001230529,0.003767297,0.09711642,0.00004118887,0.0005244834,0.007848118,0.01089812,0.1463467],"study_design_scores_gemma":[0.00004897101,0.0004305331,0.5433532,0.002431562,0.0001450504,0.006910649,0.3948245,0.0001469132,0.0001761551,0.007861518,0.04360877,0.00006215622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468594,0.01678221,0.0001627896,0.02174407,0.0005054442,0.00003359493,0.0002308912,0.000007870093,0.01367367],"genre_scores_gemma":[0.978827,0.01467039,0.00005719899,0.00363174,0.0003148231,0.00002888648,0.00009907882,0.000003670865,0.002367358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01069745,"threshold_uncertainty_score":0.02167261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009295350774896478,"score_gpt":0.2622066756085499,"score_spread":0.2529113248336534,"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."}}