{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006682477,0.0005700206,0.0006664848,0.0005397728,0.0008005309,0.0008556019,0.0007748345,0.0006153217,0.0004807191],"category_scores_gemma":[0.01149511,0.0006166183,0.001563139,0.0005555747,0.0004012105,0.0006551372,0.0007805452,0.001004626,0.000207296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007033129,"about_ca_system_score_gemma":0.0009422945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007469055,"about_ca_topic_score_gemma":0.007787994,"domain_scores_codex":[0.9976776,0.001295308,0.0001478967,0.0004034262,0.0002554363,0.0002202415],"domain_scores_gemma":[0.9940919,0.001895381,0.0009171065,0.001402551,0.0009481398,0.0007448226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001764483,0.0006071232,0.9919281,0.00002141082,0.0005221256,0.0003295675,0.0006188356,0.0004391641,0.0006480179,0.00008384299,0.0003301042,0.002707188],"study_design_scores_gemma":[0.0004765784,0.003171623,0.9659986,0.00005377935,0.0008011697,0.001601432,0.001022397,0.02515826,0.0004556255,0.0003750626,0.0008076574,0.00007784767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991909,0.00004491575,0.0005425751,0.00002354929,0.000005946118,0.00003167722,0.0001166793,0.000003255216,0.00004045898],"genre_scores_gemma":[0.9983389,0.00004932722,0.00101705,0.00002469978,0.00001247436,0.00005446312,0.0004261709,0.000004875303,0.00007188741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007469055,"threshold_uncertainty_score":0.03534073,"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."}}