{"id":"W2767036550","doi":"10.5465/ambpp.2017.12960abstract","title":"Development and Validation of Models of Health Professionals' Early and Involuntary Retirement","year":2017,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Operationalization; Voluntariness; Context (archaeology); Workforce; Psychology; Health care; Conceptual model; Gerontology; Health and Retirement Study; Population ageing; Applied psychology; Economic shortage; Actuarial science; Population; Social psychology; Medicine; Business; Political science; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02922754,0.001354787,0.0007632203,0.003984998,0.002081758,0.005556278,0.00300456,0.001316209,0.002334062],"category_scores_gemma":[0.06828575,0.0007736145,0.00237294,0.002584809,0.003573026,0.004127279,0.004062898,0.002359943,0.0003105759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01455121,"about_ca_system_score_gemma":0.02232595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05027829,"about_ca_topic_score_gemma":0.048965,"domain_scores_codex":[0.983152,0.01208297,0.001030764,0.001247288,0.00197341,0.0005135061],"domain_scores_gemma":[0.9358237,0.04251175,0.00531667,0.002854789,0.01227255,0.001220398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004338107,0.002033627,0.3622014,0.002553339,0.001106799,0.0005371923,0.1055782,0.05237887,0.001142908,0.2521033,0.00800106,0.2119296],"study_design_scores_gemma":[0.0004943121,0.001377837,0.2080796,0.0100319,0.001295079,0.0005315301,0.1281597,0.3857307,0.002190019,0.2121878,0.04947817,0.0004434661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7786639,0.001616935,0.1686936,0.008076424,0.0002763021,0.005639482,0.001546646,0.0002873443,0.03519928],"genre_scores_gemma":[0.8489973,0.000738055,0.1444588,0.0003114931,0.0000185896,0.003120815,0.001481549,0.00002138224,0.0008519726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05027829,"threshold_uncertainty_score":0.1545718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2674755827408778,"score_gpt":0.4323942821729435,"score_spread":0.1649186994320657,"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."}}