{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004643262,0.0001846284,0.0003833989,0.0002123227,0.0003424506,0.00002515004,0.0001161375,0.0005179107,0.00002534055],"category_scores_gemma":[0.0004086168,0.0001711779,0.0001595979,0.0002500059,0.000114095,0.0001787723,0.00005743095,0.0004602566,0.000001776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006806842,"about_ca_system_score_gemma":0.00002524211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001651047,"about_ca_topic_score_gemma":0.00004265966,"domain_scores_codex":[0.9984995,0.0003243387,0.0004061546,0.0003459762,0.0001359708,0.0002880922],"domain_scores_gemma":[0.9988521,0.0004249499,0.0001072569,0.000174494,0.0002732786,0.0001679754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005389544,0.0001861248,0.2139941,0.001648455,0.001024685,0.00001242744,0.007449301,0.006152524,0.682705,0.002392792,0.00001455474,0.08388102],"study_design_scores_gemma":[0.0007781533,0.0001595114,0.005467446,0.00004241767,0.00268963,0.000004214129,0.0008368828,0.9536831,0.0357144,0.0002629949,0.000137329,0.0002238597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700242,0.00007691513,0.02879604,0.0001572976,0.0003549378,0.0003330845,0.00005622552,0.00005132375,0.0001499389],"genre_scores_gemma":[0.9974229,0.00001100542,0.002139948,0.0001511657,0.0001632583,0.00004345776,0.00003742162,0.00001917325,0.00001160694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9475306,"threshold_uncertainty_score":0.6980434,"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."}}