{"id":"W229896902","doi":"","title":"T he impact of child care costs and availability on mothers' labour supply","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Poverty; Child care; Labour economics; Economics; Demographic economics; Business; Economic growth; Medicine; Nursing","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":[0.0007059641,0.0001820357,0.0002831387,0.0008849326,0.0004497375,0.001382753,0.0004430805,0.0004476934,0.01078048],"category_scores_gemma":[0.003816422,0.0001487396,0.0003323295,0.001371723,0.0005565685,0.0008353107,0.001147087,0.000458541,0.0005130378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388829,"about_ca_system_score_gemma":0.0007886972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01224182,"about_ca_topic_score_gemma":0.01276132,"domain_scores_codex":[0.9991438,0.0002816297,0.00003706798,0.00008466459,0.0002532279,0.0001995865],"domain_scores_gemma":[0.9963936,0.002253052,0.0008463732,0.00007128526,0.0002365228,0.0001990797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003863638,0.0002056736,0.6863139,0.001708887,0.0004240674,0.002220807,0.004834945,0.004296603,0.001618281,0.05692108,0.008663793,0.2324056],"study_design_scores_gemma":[0.00001812563,0.0001398276,0.9169596,0.001356933,0.0001451724,0.0008941251,0.009094116,0.001168861,0.0006959573,0.0158967,0.05359425,0.00003626245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8651646,0.05810733,0.001983993,0.01425117,0.0002154515,0.00002540207,0.002492134,0.00001404227,0.05774597],"genre_scores_gemma":[0.9683316,0.0251437,0.0003337882,0.0004496906,0.0002720455,0.00002303101,0.0003731643,0.00001334828,0.005059702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01224182,"threshold_uncertainty_score":0.03606433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02815836143532931,"score_gpt":0.344597170756556,"score_spread":0.3164388093212267,"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."}}