{"id":"W2331801689","doi":"10.1097/01720610-201007000-00001","title":"Physician assistants, economics, and workforce modeling","year":2010,"lang":"en","type":"article","venue":"JAAPA","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Health care; Counterintuitive; Supply and demand; Workforce planning; Per capita; Quality (philosophy); Public relations; Business; Economics; Medicine; Political science; Economic growth; Population; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002792407,0.00009293755,0.0001929509,0.00008998199,0.00009359459,0.00006557077,0.0001075623,0.0000691832,0.00003888387],"category_scores_gemma":[0.00002509005,0.0001138555,0.00004079562,0.0000579457,0.00002715189,0.0001495386,0.00005342724,0.0001595334,0.0002407338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000260673,"about_ca_system_score_gemma":0.00001043045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008492341,"about_ca_topic_score_gemma":0.0003790419,"domain_scores_codex":[0.999185,0.000003904808,0.0002928139,0.0002672315,0.00001001199,0.0002409972],"domain_scores_gemma":[0.9995367,0.00001409851,0.00009668456,0.0002488789,0.00000832849,0.00009531601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003531396,0.00001727947,0.0009424938,0.00001389626,0.00001154863,5.116328e-7,0.0001480823,0.0001627025,0.000008011815,0.9786588,0.0002421411,0.01979102],"study_design_scores_gemma":[0.0003402041,0.00002127991,0.002467398,0.000008442942,0.00000335467,0.000001202701,0.00007611599,0.1303692,0.00002265445,0.1383184,0.7280918,0.0002799571],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8221125,0.0006176473,0.003030739,0.008387462,0.0009712298,0.0001998021,0.00006744797,0.00005620393,0.164557],"genre_scores_gemma":[0.9951162,0.0005041462,0.00110645,0.001960548,0.0002690979,0.00001196024,0.000004523218,0.00001736468,0.001009688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8403404,"threshold_uncertainty_score":0.4642892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05193734402201217,"score_gpt":0.2555610988130064,"score_spread":0.2036237547909943,"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."}}