{"id":"W4401816411","doi":"10.2139/ssrn.4934583","title":"Why is Female Labor Force Participation Declining in China? A Perspective from Urban Commuting","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"China; Perspective (graphical); Demographic economics; Labour economics; Geography; Political science; Economics; Computer science","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":[0.001097161,0.0002371256,0.0004930696,0.001777772,0.001682226,0.001662578,0.000713392,0.0009470378,0.004305561],"category_scores_gemma":[0.001352283,0.0001487,0.0003144566,0.003142261,0.00199309,0.001560665,0.0009593597,0.0008926534,0.0002025438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003336311,"about_ca_system_score_gemma":0.003100976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1608465,"about_ca_topic_score_gemma":0.1962069,"domain_scores_codex":[0.9993269,0.000116766,0.00002330471,0.0001053133,0.00007703464,0.0003506206],"domain_scores_gemma":[0.9989462,0.0001907938,0.0002596258,0.00004981047,0.0002213223,0.0003322169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001892831,0.0001003309,0.8643512,0.0003167148,0.00008547203,0.001264035,0.03283024,0.0006952396,0.001139322,0.04880802,0.009200492,0.04101948],"study_design_scores_gemma":[0.00001292174,0.0001173392,0.9418892,0.0001361239,0.00003331517,0.0001398268,0.03525712,0.0006814827,0.0001904665,0.006019099,0.01549525,0.0000279373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.94918,0.004234321,0.0003131324,0.03151705,0.0001069782,0.00001533961,0.0005616667,0.00001388358,0.01405764],"genre_scores_gemma":[0.9961986,0.001082078,0.00004386763,0.001004797,0.00009779732,0.000006518096,0.0001066705,0.000003320256,0.001456176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1608465,"threshold_uncertainty_score":0.3198205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02390952981494363,"score_gpt":0.3497800278921654,"score_spread":0.3258704980772217,"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."}}