{"id":"W1985309706","doi":"10.1080/19485565.2013.833800","title":"Health, Retirement, and Migration from Metro Counties: Evidence from the Health and Retirement Study","year":2013,"lang":"en","type":"article","venue":"Biodemography and Social Biology","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Odds; Health and Retirement Study; Demographic economics; Gerontology; Quarter (Canadian coin); Odds ratio; Survey data collection; Demography; Medicine; Environmental health; Geography; Logistic regression; Sociology; Economics","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":[0.002566817,0.0002033265,0.0003012467,0.001658454,0.0005357882,0.0005640545,0.0004820235,0.0004333296,0.002107849],"category_scores_gemma":[0.01063451,0.0002053477,0.0005131975,0.001907851,0.0005575348,0.0004058352,0.0008993992,0.000507453,0.0001644665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002217212,"about_ca_system_score_gemma":0.0004111199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02366233,"about_ca_topic_score_gemma":0.04744646,"domain_scores_codex":[0.9991809,0.0004690246,0.00008550277,0.00009177816,0.00008698817,0.00008585207],"domain_scores_gemma":[0.9901863,0.004136668,0.00351461,0.0004918436,0.0007560212,0.0009144673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001160709,0.00003891709,0.9938985,0.0001007776,0.0003506164,0.00006078157,0.0002622222,0.00004027026,0.0000124589,0.00009447978,0.0003613421,0.004663498],"study_design_scores_gemma":[0.00000712689,0.00004985448,0.9987547,0.00006795149,0.0001316283,0.00004254461,0.0004703478,0.0000472132,0.000005906574,0.00005128616,0.0003688131,0.000002594164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876043,0.009195962,0.00009641174,0.000916302,0.00002525761,0.000008647417,0.0007271834,0.000003061,0.001422773],"genre_scores_gemma":[0.9952664,0.003869009,0.00006804462,0.00009287647,0.00003588834,0.000006745489,0.0004530215,0.0000014895,0.0002065716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02366233,"threshold_uncertainty_score":0.04704922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05084226868449122,"score_gpt":0.3345124097929018,"score_spread":0.2836701411084105,"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."}}