{"id":"W1659315455","doi":"","title":"A system for evaluating inpatient care cost-efficiency in a hospital.","year":2001,"lang":"en","type":"article","venue":"PubMed","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Cost efficiency; Health care; Efficiency; Population; Operations management; Computer science; Statistics; Medicine; Environmental health; Engineering; Mathematics; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01063243,0.001376272,0.001599564,0.01742364,0.0008978709,0.004397156,0.001256847,0.0009078446,0.01086729],"category_scores_gemma":[0.03899115,0.0004043283,0.001451489,0.0152977,0.0005324158,0.00365735,0.002280614,0.00103406,0.003895328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004331555,"about_ca_system_score_gemma":0.00411984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008974743,"about_ca_topic_score_gemma":0.006332159,"domain_scores_codex":[0.9844774,0.004180044,0.004511436,0.001240269,0.005205131,0.0003858001],"domain_scores_gemma":[0.973034,0.007228991,0.006813159,0.002952409,0.008876785,0.001094538],"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":[0.001102023,0.0007694285,0.323122,0.001639345,0.001304048,0.0002079753,0.0007156879,0.02704995,0.001476705,0.0671503,0.1342868,0.4411756],"study_design_scores_gemma":[0.000345472,0.001963072,0.6050991,0.00126485,0.0007864116,0.001003937,0.00167273,0.1637753,0.005603535,0.05254368,0.165543,0.0003990322],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1910787,0.005091412,0.3092482,0.003848141,0.001008273,0.008795636,0.3491247,0.01388588,0.117919],"genre_scores_gemma":[0.536207,0.002037972,0.3050094,0.0007159536,0.0003675834,0.009137925,0.1343116,0.0007220404,0.01149069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01742364,"threshold_uncertainty_score":0.05623037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09813032196805324,"score_gpt":0.2915568957376595,"score_spread":0.1934265737696063,"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."}}