{"id":"W1508820574","doi":"10.1002/hec.2931","title":"THE EFFECTS OF HEALTH STATUS AND HEALTH SHOCKS ON HOURS WORKED","year":2013,"lang":"en","type":"article","venue":"Health Economics","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Australian Research Council; Flinders University","keywords":"Endogeneity; Tobit model; Estimation; Demographic economics; Working age; Working hours; Economics; Working time; Econometrics; Medicine; Environmental health; Labour economics; Work (physics); Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.002616377,0.0001201128,0.0003540818,0.00003589257,0.001109826,0.00008040749,0.0001557825,0.00004975131,0.00002259],"category_scores_gemma":[0.0001055111,0.00009727864,0.00004836121,0.00007260306,0.0002981327,0.00009406076,0.00003714817,0.0001283679,0.00002220032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043651,"about_ca_system_score_gemma":0.001478703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0750438,"about_ca_topic_score_gemma":0.02720222,"domain_scores_codex":[0.9976584,0.0005240561,0.0005886607,0.0002658934,0.0001269671,0.000836051],"domain_scores_gemma":[0.9982398,0.0004728498,0.0004586553,0.0002856353,0.00002753687,0.0005155696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000259791,0.0002226619,0.3123757,0.0006882534,0.00002878394,4.098314e-8,0.0273507,0.00002091726,1.859144e-7,0.04140942,0.02021382,0.5976635],"study_design_scores_gemma":[0.0009218314,0.001699068,0.9154304,0.0002384877,0.00000302622,1.405851e-7,0.0114491,0.00006848682,0.000005291796,0.009128361,0.06082696,0.0002288291],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927496,0.00347684,0.00000804442,0.06487259,0.0008719411,0.001905792,0.000006001832,0.00003387131,0.001328876],"genre_scores_gemma":[0.9513134,0.04120341,0.00007222401,0.006997752,0.0001199843,0.00007851618,0.000004414294,0.00001500478,0.0001953157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6030547,"threshold_uncertainty_score":0.9905488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1596085678010871,"score_gpt":0.4248658584525329,"score_spread":0.2652572906514458,"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."}}