{"id":"W2056346270","doi":"10.1108/jhom-02-2013-0034","title":"Does CEO compensation impact patient satisfaction?","year":2015,"lang":"en","type":"article","venue":"Journal of Health Organization and Management","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Compensation (psychology); Patient satisfaction; Public hospital; Sample size determination; Sample (material); Health care; Medicine; Nursing; Psychology; Executive compensation; Business; Social psychology; Political science; Statistics","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":[0.001471251,0.000130868,0.0002436797,0.0006235829,0.0007278718,0.0009966043,0.0002938187,0.0003278658,0.003274655],"category_scores_gemma":[0.009623303,0.00007656288,0.0003024551,0.001186386,0.0006917291,0.0002655172,0.0004339646,0.0004051051,0.0001885138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006468308,"about_ca_system_score_gemma":0.008779624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.366212,"about_ca_topic_score_gemma":0.4593779,"domain_scores_codex":[0.9984109,0.0005083324,0.0001084272,0.00009139277,0.0004906796,0.0003901919],"domain_scores_gemma":[0.9900569,0.001933885,0.004173627,0.000158651,0.001697159,0.001979647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007249599,0.00002722622,0.9933137,0.00001865436,0.00001893521,0.00002820062,0.0001877941,0.00005547789,0.00004898578,0.0000460167,0.0004392819,0.005743186],"study_design_scores_gemma":[0.000002892489,0.00002479402,0.9992164,0.00001092216,0.000005854546,0.00002145232,0.0002833639,0.00008516318,0.00002092305,0.00001718329,0.0003092122,0.000001787856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931062,0.0008716697,0.0001017585,0.002100545,0.00002251274,0.00001258823,0.0003819281,0.000004229333,0.003398525],"genre_scores_gemma":[0.9994633,0.0001215418,0.00002545362,0.0000871526,0.000009136637,0.000002037439,0.000106017,7.146471e-7,0.000184695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.366212,"threshold_uncertainty_score":0.7281607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04119386513768361,"score_gpt":0.2900080744641002,"score_spread":0.2488142093264165,"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."}}