{"id":"W2113199731","doi":"10.5430/jha.v3n1p23","title":"Severity of illness in the case-mix specification and performance: A study for Italian public hospitals","year":2013,"lang":"en","type":"article","venue":"Journal of Hospital Administration","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Case mix index; Data envelopment analysis; Index (typography); Sample (material); Public sector; Operations management; Statistics; Econometrics; Public hospital; Actuarial science; Business; Medicine; Economics; Computer science; Mathematics; Nursing","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":[0.005877983,0.0007104392,0.0005025227,0.002162172,0.000386318,0.001599105,0.000594361,0.0007573579,0.00306114],"category_scores_gemma":[0.01665704,0.0002303512,0.001550011,0.002534956,0.0005683172,0.0006536302,0.001171943,0.0005869304,0.0004673016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002736141,"about_ca_system_score_gemma":0.001394966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01426959,"about_ca_topic_score_gemma":0.005968923,"domain_scores_codex":[0.9969369,0.001560568,0.0001860588,0.0003210071,0.0004542517,0.0005411571],"domain_scores_gemma":[0.987833,0.006406791,0.003479193,0.0008840355,0.0005907486,0.0008061661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001857274,0.0003142601,0.9929602,0.00003448263,0.0001204687,0.0001674964,0.0005584846,0.001529724,0.00006101822,0.0002199923,0.0005295316,0.003318606],"study_design_scores_gemma":[0.00001597001,0.0002909273,0.9926779,0.00002432947,0.00004575932,0.0002036794,0.0008843628,0.005257411,0.00004346662,0.000162783,0.0003792637,0.00001411019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986207,0.0001584309,0.0002253261,0.0001156835,0.000003534011,0.00002748088,0.0001913374,0.000004398727,0.0006530521],"genre_scores_gemma":[0.9990543,0.00008295508,0.0001150404,0.00003040519,0.00001778363,0.00002578111,0.0005465236,0.000004823502,0.0001224273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01426959,"threshold_uncertainty_score":0.03108615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05788391619069103,"score_gpt":0.3548192116393559,"score_spread":0.2969352954486648,"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."}}