{"id":"W2897276208","doi":"10.1186/s40560-018-0335-3","title":"Predicting in-hospital mortality in pneumonia-associated septic shock patients using a classification and regression tree: a nested cohort study","year":2018,"lang":"en","type":"article","venue":"Journal of Intensive Care","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Alberta; Laurentian University; University of Manitoba; Surrey Memorial Hospital; University of Alberta Hospital","funders":"","keywords":"Medicine; Septic shock; Pneumonia; Receiver operating characteristic; Cohort study; Internal medicine; Cohort; Area under the curve; Intensive care medicine; Emergency medicine; Sepsis","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":[0.000212759,0.0001388615,0.000462702,0.0002247133,0.0000465242,0.00001859428,0.00004094675,0.0000820123,0.000004760702],"category_scores_gemma":[0.002210215,0.00009910018,0.00007224793,0.0002433318,0.00004680743,0.0001144291,0.00003098569,0.0002238164,6.185521e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007231554,"about_ca_system_score_gemma":0.00008217878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002247986,"about_ca_topic_score_gemma":0.0005649846,"domain_scores_codex":[0.9986086,0.0001085433,0.0005831918,0.000192596,0.0003545465,0.0001525262],"domain_scores_gemma":[0.9942261,0.00007001734,0.000499594,0.0001264059,0.004985924,0.00009196821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001178175,0.0009234424,0.9895249,0.00001486612,0.0001647713,0.0002089255,0.008069056,0.000001787392,0.0004041246,1.756045e-7,0.00005711684,0.0005129898],"study_design_scores_gemma":[0.003770127,0.003167546,0.9416726,0.0013487,0.0003229715,0.00002185321,0.04884927,0.0006467411,0.0001232225,0.000002590846,0.00000116679,0.00007325218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985965,0.0001818136,5.249609e-7,0.0002238113,0.0002743146,0.0006804986,0.000003923845,0.000005891001,0.00003268269],"genre_scores_gemma":[0.9996412,0.00002621849,0.00002300573,0.0002011777,0.0000722835,0.000008957208,0.00001027105,0.00001427193,0.000002649269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04785237,"threshold_uncertainty_score":0.4041188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0688119986107,"score_gpt":0.3698878640567109,"score_spread":0.3010758654460108,"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."}}