{"id":"W1555092215","doi":"10.1002/hpm.2201","title":"How do hospitalization experience and institutional characteristics influence inpatient satisfaction? A multilevel approach","year":2013,"lang":"en","type":"article","venue":"The International Journal of Health Planning and Management","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Scuola Superiore Sant'Anna","keywords":"Benchmarking; Proxy (statistics); Residence; Patient satisfaction; Multilevel model; Health care; Medicine; Case mix index; Nursing; Family medicine; Psychology; Business; Demography; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006627614,0.0001273568,0.0001967841,0.0002004925,0.0007532567,0.00009029845,0.0001878858,0.00005397662,0.00001774259],"category_scores_gemma":[0.0001555306,0.00009135514,0.00002242314,0.00007303858,0.00009851289,0.0005402082,0.0001517979,0.0003592444,0.000004562867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002828671,"about_ca_system_score_gemma":0.0001179826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004050666,"about_ca_topic_score_gemma":0.000002908508,"domain_scores_codex":[0.9980086,0.0002433026,0.0007479084,0.0001666015,0.0006002087,0.000233347],"domain_scores_gemma":[0.9980468,0.0001603772,0.001033002,0.0001137834,0.0005163412,0.0001296632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000409525,0.00002144924,0.9271596,0.0002772934,0.0000707935,0.000004486015,0.01123105,0.0003155892,0.00001060521,0.0041861,0.001271381,0.05541067],"study_design_scores_gemma":[0.0005473181,0.00008302576,0.9864402,0.0005917404,0.000007749838,0.00003140904,0.006564998,0.001500533,8.808731e-7,0.0003450457,0.00380535,0.00008178057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712629,0.000432903,0.01865112,0.007356957,0.001308934,0.0007859215,0.00001430501,0.0000193959,0.000167552],"genre_scores_gemma":[0.9935013,0.0009237551,0.002886769,0.002286542,0.0001522444,0.0001314868,0.000011977,0.00000895927,0.00009695283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05928054,"threshold_uncertainty_score":0.5793517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05987509651670245,"score_gpt":0.3899345085394268,"score_spread":0.3300594120227243,"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."}}