{"id":"W3124142868","doi":"","title":"WORKING WOMEN, MEN'S HOME TIME AND LOWEST-LOW FERTILITY","year":2006,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Fertility; Externality; Economics; Demographic economics; Negative correlation; Positive correlation; Labour economics; Time-use survey; Demography; Sociology; Population; Medicine; Microeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002023212,0.0007557447,0.001150523,0.0003481366,0.001031982,0.0005274846,0.0009221706,0.001177325,0.001099754],"category_scores_gemma":[0.000199247,0.0008729656,0.0003136926,0.0003160478,0.001708662,0.0002647544,0.0006918577,0.001224383,0.0003380408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692556,"about_ca_system_score_gemma":0.001739074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002056351,"about_ca_topic_score_gemma":0.003163321,"domain_scores_codex":[0.995015,0.0005208898,0.0009228814,0.001470562,0.0006460629,0.001424653],"domain_scores_gemma":[0.9971623,0.0004323077,0.0005843107,0.0009674596,0.0002084067,0.0006452585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002922722,0.0001616053,0.9848279,0.00008903079,0.0001378439,0.00002954461,0.008619724,0.00007636098,0.0000238564,0.0007873818,0.004205955,0.001011593],"study_design_scores_gemma":[0.0008599272,0.00005314799,0.9651157,0.0002627067,0.0001109955,0.000008556362,0.004238593,0.0007891647,0.000004698239,0.008950699,0.01786337,0.00174246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8839608,0.00155472,0.00007110764,0.0002730114,0.004681092,0.0007644455,0.000192593,0.000405693,0.1080965],"genre_scores_gemma":[0.9838043,0.0004491879,0.0007660599,0.0003213583,0.001078138,0.0001345414,0.00009961216,0.00008422839,0.01326255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09984353,"threshold_uncertainty_score":0.9998134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399294693194401,"score_gpt":0.2411889396493168,"score_spread":0.2271959927173728,"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."}}