{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01503144,0.0004372992,0.0004969282,0.001270251,0.003719179,0.006286934,0.001545667,0.004156275,0.009219505],"category_scores_gemma":[0.04648815,0.0002615287,0.0009287397,0.001386876,0.003968568,0.007096691,0.003884,0.004492793,0.001296804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009216447,"about_ca_system_score_gemma":0.01318055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005521326,"about_ca_topic_score_gemma":0.009952337,"domain_scores_codex":[0.985794,0.00986067,0.0004653985,0.0004318593,0.001955764,0.001492364],"domain_scores_gemma":[0.9738935,0.009603754,0.003461507,0.0009997596,0.002717819,0.009323576],"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":[0.0004399871,0.001525666,0.06100121,0.0009447333,0.0001804086,0.0003874012,0.004306657,0.007185744,0.0003494395,0.191111,0.2651094,0.4674583],"study_design_scores_gemma":[0.0006385566,0.002371738,0.06913668,0.009293659,0.0002268815,0.001518137,0.01191271,0.01498942,0.001170206,0.3058993,0.5823134,0.0005293532],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04632154,0.01322694,0.01162377,0.8774122,0.005200041,0.0002243616,0.0001290411,0.000130546,0.04573156],"genre_scores_gemma":[0.8470994,0.01601417,0.01485019,0.1025409,0.005600907,0.0003582648,0.0001205159,0.00008975858,0.01332592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01503144,"threshold_uncertainty_score":0.07949483,"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."}}