{"id":"W1568009433","doi":"","title":"Female Employment Rates and Labour Market Attachment in Rural Canada","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human capital; Labour economics; Economics; Rural area; Demographic economics; Market segmentation; Economic growth; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007876104,0.0002119836,0.0003528832,0.002221154,0.004323501,0.001595281,0.0008957547,0.0004627226,0.01238889],"category_scores_gemma":[0.004110142,0.0002318526,0.0003377596,0.004066552,0.0009595439,0.0004541369,0.001090826,0.0009572415,0.0005954124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02081292,"about_ca_system_score_gemma":0.02342567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948015,"about_ca_topic_score_gemma":0.9973936,"domain_scores_codex":[0.9990649,0.00006549565,0.00003078256,0.00008920218,0.0002349407,0.0005148],"domain_scores_gemma":[0.9963918,0.0003232539,0.0005903394,0.00009375349,0.001007694,0.00159305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001263881,0.00005475604,0.9773394,0.00002929228,0.00002726202,0.0001761143,0.004375306,0.0002586345,0.0001426708,0.001754294,0.004610535,0.01110525],"study_design_scores_gemma":[0.000006636539,0.0000174334,0.9896743,0.00003768978,0.00001004347,0.00005362885,0.0063411,0.0003501459,0.00005330568,0.0001714066,0.003268983,0.00001537838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876832,0.0007016608,0.00005980412,0.001466071,0.00002283835,0.00001438797,0.003003279,0.000008708133,0.007040075],"genre_scores_gemma":[0.9908886,0.0005056474,0.00004845147,0.00006905941,0.000009012841,0.00000622637,0.000709481,0.000006664895,0.007756998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02081292,"threshold_uncertainty_score":0.151009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03008457984983348,"score_gpt":0.3343819712014529,"score_spread":0.3042973913516194,"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."}}