{"id":"W2972965649","doi":"10.3138/cpp.2019-043","title":"Marital Property Laws and Women’s Labour Supply","year":2020,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Labour supply; Incentive; Work (physics); Economics; Demographic economics; Marital status; Civil code; Labour economics; Sociology; Political science; Law; Demography; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0006459178,0.00009821622,0.0002398391,0.001343647,0.001673292,0.001191073,0.0005900647,0.0003433551,0.00858909],"category_scores_gemma":[0.003599324,0.0001362342,0.0002238614,0.002562888,0.0009570409,0.0005183202,0.0007286772,0.0004871087,0.0004318694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0114015,"about_ca_system_score_gemma":0.005151039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8838387,"about_ca_topic_score_gemma":0.9424629,"domain_scores_codex":[0.9993717,0.00008124678,0.00002647798,0.00006555414,0.0001749742,0.0002800637],"domain_scores_gemma":[0.9979953,0.0003086184,0.0007742796,0.00007225967,0.0004890985,0.0003604903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008166117,0.00006544848,0.9773975,0.00002463233,0.00004418409,0.0001493819,0.0036286,0.0004221376,0.0001835422,0.002582571,0.001172168,0.01424818],"study_design_scores_gemma":[0.000003163962,0.00001558489,0.9924048,0.00002279335,0.000005816621,0.00001665248,0.002674158,0.0001198952,0.00004808254,0.000187682,0.00449677,0.000004780198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809069,0.001037792,0.0001430231,0.001731677,0.00001895964,0.00001686343,0.001576587,0.000005325923,0.01456288],"genre_scores_gemma":[0.9943414,0.0003025473,0.00003799731,0.00008174728,0.000009895256,0.000006052796,0.0004358601,0.000001998667,0.00478255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1161613,"threshold_uncertainty_score":0.2336909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02307730315837282,"score_gpt":0.2453696610831828,"score_spread":0.22229235792481,"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."}}