{"id":"W2900983220","doi":"","title":"Do Work and Family Care Histories Predict Health in Older Women?","year":2017,"lang":"en","type":"preprint","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Odds; Psychological intervention; Socioeconomic status; Logistic regression; Gerontology; Health and Retirement Study; Health care; Medicine; Odds ratio; Psychology; Demography; Psychiatry; Population; Environmental health; Sociology; Political 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":[0.0009492058,0.0001357122,0.0002224959,0.0006050703,0.0005817356,0.0006387849,0.0005075018,0.0005598912,0.002828609],"category_scores_gemma":[0.004357973,0.0002003395,0.0003575263,0.001052407,0.0004563111,0.0005279075,0.0004806648,0.0004652359,0.000296342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003938883,"about_ca_system_score_gemma":0.0004117189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02576301,"about_ca_topic_score_gemma":0.04310255,"domain_scores_codex":[0.9995673,0.0001332315,0.00005366476,0.00008560454,0.0000596094,0.0001006819],"domain_scores_gemma":[0.9980795,0.0005030669,0.0008671029,0.0001011103,0.0001093348,0.0003398384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002148205,0.00001574078,0.9981688,0.00001317017,0.00002531448,0.00002187464,0.0001532179,0.00001200887,0.00001338473,0.00001811696,0.0001306676,0.001406125],"study_design_scores_gemma":[0.000001429562,0.00002288875,0.9991677,0.00002537606,0.00001339222,0.00003918689,0.0003676843,0.00003767733,0.000009110238,0.00003723837,0.0002763683,0.000002048859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946378,0.00209832,0.00006840851,0.0007927254,0.00003248157,0.00001261726,0.0008849971,0.000002194048,0.001470351],"genre_scores_gemma":[0.998603,0.0006346843,0.00006077674,0.0001359609,0.00002489035,0.0000123605,0.0002783657,0.000001055337,0.0002489072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02576301,"threshold_uncertainty_score":0.05122608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1710910376007971,"score_gpt":0.4596901922663021,"score_spread":0.288599154665505,"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."}}