{"id":"W2092233526","doi":"10.1097/mlr.0b013e318229360e","title":"The Mortality Risk Score and the ADG Score","year":2011,"lang":"en","type":"article","venue":"Medical Care","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa; University of Toronto; Institute for Clinical Evaluative Sciences","funders":"Canadian Institutes of Health Research","keywords":"Logistic regression; Medicine; Framingham Risk Score; Demography; Cohort; Statistic; Population; Cohort study; Retrospective cohort study; Regression analysis; Risk of mortality; Statistics; Internal medicine; Mathematics; Disease; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004146722,0.0001055619,0.000198223,0.00001055796,0.0002338175,0.0000140893,0.0001148188,0.00008105889,0.0005173768],"category_scores_gemma":[0.0007433391,0.00004002707,0.00009985013,0.00006374263,0.0006060278,0.00001435742,0.00007025791,0.0002423918,0.00002628765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002708846,"about_ca_system_score_gemma":0.00007940326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009699533,"about_ca_topic_score_gemma":0.0008039363,"domain_scores_codex":[0.9988616,0.0001000745,0.0001648697,0.0001785458,0.0005164076,0.0001785163],"domain_scores_gemma":[0.9989827,0.0002919679,0.00004758933,0.0003846182,0.00006861905,0.0002245417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009698168,0.00006588713,0.9347215,0.00002485342,0.0001357225,0.00009394292,0.002937981,1.090999e-8,1.312351e-7,0.001575064,0.002422115,0.05792582],"study_design_scores_gemma":[0.002614465,0.0001502694,0.9876938,0.00009837162,0.0003705115,0.00002829566,0.001877979,0.00001924029,0.0001000322,0.0005985766,0.006394396,0.00005402173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744968,0.01323913,0.000004713328,0.003156097,0.0002032535,0.0003766851,0.000009642566,0.00002996052,0.008483711],"genre_scores_gemma":[0.995921,0.002311181,0.00001800698,0.00141324,0.0001663624,0.00008992032,0.00001033246,0.000009700336,0.00006023938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0578718,"threshold_uncertainty_score":0.5664912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1322801138715977,"score_gpt":0.3440430680920987,"score_spread":0.2117629542205011,"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."}}