{"id":"W2066578832","doi":"10.1016/s0272-5231(03)00094-7","title":"Prognostication and intensive care unit outcome: the evolving role of scoring systems","year":2003,"lang":"en","type":"review","venue":"Clinics in Chest Medicine","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Context (archaeology); Audit; Population; Outcome (game theory); Intensive care unit; Quality (philosophy); Resource (disambiguation); MEDLINE; Case mix index; Intensive care medicine; Risk analysis (engineering); Computer science; Nursing","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":[0.007229707,0.001476311,0.004400186,0.003057779,0.0003505129,0.002356229,0.00224268,0.001284161,0.001364404],"category_scores_gemma":[0.01065593,0.0003656786,0.0007929312,0.004743878,0.001460751,0.002971781,0.0009498567,0.002721533,0.0005608011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042233,"about_ca_system_score_gemma":0.002549785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003008814,"about_ca_topic_score_gemma":0.002840048,"domain_scores_codex":[0.99796,0.0007414482,0.0003456204,0.0003142489,0.0005765707,0.00006208155],"domain_scores_gemma":[0.9899951,0.006620593,0.0009047953,0.0001872867,0.002106122,0.0001859852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001522058,0.00006098132,0.00520075,0.008215276,0.0002568649,0.0000938673,0.00008805765,0.0004519938,0.0003548141,0.003327318,0.01654426,0.9652537],"study_design_scores_gemma":[0.0002717386,0.0007306592,0.05494106,0.03702055,0.00178853,0.004816735,0.001113471,0.003335993,0.00132762,0.02520218,0.8691221,0.0003293806],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000407487,0.9972416,0.00057715,0.001052098,0.0002814106,0.000006267389,0.00003005806,0.000008691539,0.0003952428],"genre_scores_gemma":[0.004256512,0.992501,0.00162938,0.0005222622,0.0007706241,0.00001779663,0.00007056312,0.000004552356,0.0002273534],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007229707,"threshold_uncertainty_score":0.03823477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3653701971562733,"score_gpt":0.4943572987851947,"score_spread":0.1289871016289214,"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."}}