{"id":"W4289519816","doi":"10.34067/kid.0000862022","title":"Development of New Equations Predicting the Mortality Risk of Patients on Continuous RRT","year":2022,"lang":"en","type":"article","venue":"Kidney360","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Seoul National University Hospital; Korea Health Industry Development Institute; Ministry of Health and Welfare","keywords":"Medicine; Receiver operating characteristic; Intensive care unit; Cohort; Proportional hazards model; Risk of mortality; Emergency medicine; Intensive care medicine; APACHE II; Critically ill; Internal medicine","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":[0.0002617002,0.00007813184,0.0001914104,0.0000413399,0.0001557907,0.000002597863,0.00007260444,0.00001691133,0.0003882627],"category_scores_gemma":[0.0004235225,0.00005254973,0.00007779827,0.0001339154,0.00002206549,0.00001270357,0.00006234104,0.0001052671,0.000005324311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009504869,"about_ca_system_score_gemma":0.0002606958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003105424,"about_ca_topic_score_gemma":0.00002062868,"domain_scores_codex":[0.9989316,0.00005364039,0.0003335606,0.0001311134,0.0004452284,0.0001047863],"domain_scores_gemma":[0.9992024,0.0001544776,0.0002389456,0.0002567746,0.00006280098,0.00008455318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004253208,0.001135172,0.978986,0.00001525149,0.0003227009,0.000001153773,0.003419145,0.00004794148,0.00004040358,0.0001787892,0.004495666,0.01131526],"study_design_scores_gemma":[0.001528395,0.0003601869,0.9834957,0.00003755938,0.0002572099,3.243496e-7,0.0007245201,0.00008382893,0.003653949,0.0000598305,0.009752106,0.00004641696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971067,0.00006062145,0.00004707849,0.0003566514,0.0001487298,0.0004396572,0.0001110708,0.00001446694,0.001715068],"genre_scores_gemma":[0.9987677,0.000008585027,0.0005616387,0.0002771539,0.00002559827,0.00007766987,0.0001064571,0.000008836389,0.0001664147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01126884,"threshold_uncertainty_score":0.4251205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08899025534452006,"score_gpt":0.3299793747449653,"score_spread":0.2409891194004453,"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."}}