{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003195764,0.0002937778,0.0005909831,0.0003278163,0.0002745319,0.0001473253,0.0007438437,0.0006372491,0.0001163182],"category_scores_gemma":[0.0009903525,0.0002939507,0.0001973722,0.0001800053,0.0009921722,0.00009066035,0.0005755969,0.001408669,0.000007330787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003449669,"about_ca_system_score_gemma":0.002307875,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01072438,"about_ca_topic_score_gemma":0.01391886,"domain_scores_codex":[0.9966541,0.000765271,0.0004863529,0.0008270821,0.0004701816,0.0007969932],"domain_scores_gemma":[0.9975914,0.0004311505,0.000193013,0.000909303,0.0004679097,0.0004071918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002295651,0.0002732713,0.895687,0.0002806959,0.0001955468,0.00001050255,0.04115348,0.006046997,0.00001339199,0.002212112,0.0003268306,0.05357055],"study_design_scores_gemma":[0.001615669,0.0006256013,0.8722462,0.000450238,0.00002429877,0.000002404917,0.1028433,0.001460243,0.00001588283,0.005290115,0.01447795,0.0009480804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.836889,0.0003671097,2.255218e-7,0.0002816834,0.0002615301,0.0008160152,0.0006217954,0.00002458487,0.1607381],"genre_scores_gemma":[0.986295,0.01212658,0.00008892785,0.0000556423,0.0002027488,0.0000442325,0.00005887733,0.00004202925,0.001085953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1596521,"threshold_uncertainty_score":0.9999512,"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."}}