{"id":"W2047388154","doi":"10.1016/j.jclinepi.2005.11.017","title":"Evaluation of comorbidity indices for inpatient mortality prediction models","year":2006,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Comorbidity; Medicine; Statistics; Psychiatry; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01130611,0.001288814,0.001671705,0.00204406,0.0004801512,0.00167334,0.001132508,0.0005365206,0.001226755],"category_scores_gemma":[0.0433673,0.0004337336,0.000923057,0.001616044,0.0001993089,0.001223676,0.0009153312,0.001027155,0.0002125523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276361,"about_ca_system_score_gemma":0.002513097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009801649,"about_ca_topic_score_gemma":0.007521604,"domain_scores_codex":[0.9968176,0.002060024,0.0002813534,0.000186976,0.0005187576,0.000135124],"domain_scores_gemma":[0.9661072,0.02797545,0.001214819,0.0007973729,0.003306351,0.0005986839],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005672525,0.001190993,0.5363412,0.0001979139,0.001321931,0.0001617111,0.0001608587,0.2243554,0.001120027,0.001751666,0.003383471,0.2243423],"study_design_scores_gemma":[0.0001626611,0.0005250959,0.02719678,0.00002490747,0.0002747804,0.0000660684,0.00007226857,0.969812,0.0006431431,0.001028133,0.0001756498,0.00001852522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9288714,0.0009693489,0.06545328,0.0005145768,0.00007373711,0.0002754744,0.001771798,0.0005156829,0.001554637],"genre_scores_gemma":[0.964066,0.0002540016,0.03351333,0.00004189167,0.00003391549,0.000129831,0.00171392,0.00004340535,0.0002037969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9886939,"threshold_uncertainty_score":0.05979311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6562175460901517,"score_gpt":0.5897382518768848,"score_spread":0.06647929421326693,"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."}}