{"id":"W2790500775","doi":"10.5430/jha.v7n2p18","title":"What’s in it for me? Incentive compensation in hospital medicine","year":2018,"lang":"en","type":"article","venue":"Journal of Hospital Administration","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incentive; Productivity; Reimbursement; Salary; Compensation (psychology); Payment; Quality (philosophy); Resource-based relative value scale; Medicaid; Work (physics); Incentive program; Business; Medicine; Actuarial science; Operations management; Health care; Psychology; Economics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005556757,0.000165402,0.0004690259,0.000319715,0.00004586205,0.00004237906,0.0001061638,0.0001159232,0.0001131711],"category_scores_gemma":[0.0007184802,0.0001245429,0.0001193692,0.0003045492,0.0001409806,0.0008352138,0.00001794634,0.0002329541,0.000008608608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002029286,"about_ca_system_score_gemma":0.0003228013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001146465,"about_ca_topic_score_gemma":0.0001109838,"domain_scores_codex":[0.9982275,0.00003413224,0.0009543817,0.0001830618,0.0003766096,0.0002243478],"domain_scores_gemma":[0.9985666,0.0001186936,0.000479697,0.0001295061,0.0005318956,0.0001736282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004843902,0.01068835,0.9043061,0.0003933663,0.000255121,0.0009532707,0.02912415,0.000009942976,0.004027958,0.007172071,0.02231662,0.01590911],"study_design_scores_gemma":[0.01092945,0.1235901,0.826398,0.002725122,0.0001348515,0.0001054739,0.0195227,0.0006140373,0.006664636,0.004438556,0.004461353,0.0004157077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9563386,0.0001767496,0.000301179,0.0398654,0.002142056,0.0005917321,0.000002604783,0.000007250601,0.0005744536],"genre_scores_gemma":[0.9970825,0.0001465201,0.001212962,0.0003447212,0.0008400237,0.00001029068,0.000021019,0.000016005,0.0003259293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1129017,"threshold_uncertainty_score":0.5078712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061954231901513,"score_gpt":0.3353745988396861,"score_spread":0.314755056520671,"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."}}