{"id":"W2076088452","doi":"10.4018/jcmam.2010100102","title":"Medical Outcome Prediction for Intensive Care Unit Patients","year":2010,"lang":"en","type":"article","venue":"International Journal of Computational Models and Algorithms in Medicine","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Intensive care unit; Medicine; Health care; Outcome (game theory); Mechanical ventilation; Medical emergency; Patient safety; Mortality rate; Intensive care medicine; Surgery; Psychiatry","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":[0.001234608,0.0004174166,0.0004466188,0.001176811,0.0002108348,0.0005119847,0.0003794473,0.0005892094,0.001494397],"category_scores_gemma":[0.01123953,0.00008481824,0.000349378,0.0006643786,0.000130453,0.0003631759,0.0003808696,0.0006032257,0.0002497806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003788773,"about_ca_system_score_gemma":0.0004242425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003893713,"about_ca_topic_score_gemma":0.002550981,"domain_scores_codex":[0.9995673,0.0001998003,0.00004294176,0.0000578898,0.00008582051,0.00004627648],"domain_scores_gemma":[0.9953493,0.00310834,0.0005191873,0.0001180958,0.0006032209,0.0003017513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001157514,0.0004066791,0.8690708,0.00006866449,0.0001070681,0.0001990396,0.00007439895,0.0535338,0.0002869817,0.0003088891,0.00170873,0.07307755],"study_design_scores_gemma":[0.00008349215,0.0009050229,0.3113035,0.00004641488,0.00008461509,0.0002076361,0.0002216701,0.6837822,0.001138384,0.001819495,0.0003777454,0.00002991402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877909,0.0002468407,0.009959911,0.0003168551,0.00003730147,0.00006765105,0.0005694891,0.00007683551,0.0009341808],"genre_scores_gemma":[0.9964581,0.00008130503,0.002261444,0.000022048,0.0000161106,0.00003634379,0.0009395683,0.000003634218,0.0001813979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003893713,"threshold_uncertainty_score":0.007742107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03969207668488035,"score_gpt":0.3783371729544457,"score_spread":0.3386450962695653,"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."}}