{"id":"W2082386503","doi":"10.1186/cc13389","title":"Determining late predictors of outcome for acetaminophen- induced acute liver failure using classification and regression tree modeling analysis","year":2014,"lang":"en","type":"article","venue":"Critical Care","topic":"Drug-Induced Hepatotoxicity and Protection","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Acetaminophen; Cart; Liver transplantation; Liver failure; Outcome (game theory); Regression; Decision tree; Internal medicine; Intensive care medicine; Transplantation; Statistics; Anesthesia; Data mining","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":[0.003192295,0.0007802411,0.0006783333,0.001308035,0.0002890567,0.000883539,0.0004739786,0.0005118643,0.001192189],"category_scores_gemma":[0.006766648,0.0001508576,0.0009347181,0.0008611759,0.0001807775,0.0004871299,0.0004810778,0.001129325,0.0003062118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003867829,"about_ca_system_score_gemma":0.0009093553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003883161,"about_ca_topic_score_gemma":0.002994541,"domain_scores_codex":[0.99902,0.0005505955,0.00007932481,0.00009440001,0.0001220469,0.0001336449],"domain_scores_gemma":[0.9949979,0.00331258,0.0007249383,0.0001629413,0.0004841759,0.0003175217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001824151,0.0005183331,0.9110127,0.00009722533,0.0005191001,0.0002333738,0.0001612587,0.03483055,0.001188887,0.0004995851,0.001517487,0.04759734],"study_design_scores_gemma":[0.00006236526,0.001556223,0.3505646,0.0000984279,0.0005393237,0.0003343939,0.0003023776,0.6420091,0.001514362,0.002203159,0.0007576126,0.00005797535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752648,0.000470113,0.02238711,0.000381886,0.00005411914,0.00006543822,0.0007963929,0.00009510441,0.0004850457],"genre_scores_gemma":[0.9945529,0.0001450965,0.00425166,0.00002408618,0.00002901222,0.00004967727,0.0007323259,0.000009412926,0.0002058567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003883161,"threshold_uncertainty_score":0.01688266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3000956099145893,"score_gpt":0.4789608179722532,"score_spread":0.1788652080576639,"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."}}