{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007872857,0.0001264456,0.0002722604,0.0004206847,0.000057212,0.00003945508,0.000711825,0.00009986492,0.00001799864],"category_scores_gemma":[0.001442255,0.00009995054,0.00005615491,0.0001276497,0.0001015768,0.0004338945,0.0001221147,0.0006193438,5.622584e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005140912,"about_ca_system_score_gemma":0.0001855411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004014651,"about_ca_topic_score_gemma":0.00001653714,"domain_scores_codex":[0.9974657,0.00006037657,0.0008312458,0.0002032821,0.001295991,0.0001433576],"domain_scores_gemma":[0.9937515,0.0006206642,0.0003525914,0.00009109036,0.005007306,0.0001768287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001681892,0.0001637745,0.3012285,0.0001067235,0.0001353002,0.0001228043,0.008143559,0.1128645,0.00001011721,0.1019677,0.0007100157,0.4743788],"study_design_scores_gemma":[0.002871636,0.00034867,0.06456885,0.0001862615,0.000006591872,0.0001786391,0.0002572065,0.8692529,0.000002084624,0.06136502,0.0008753854,0.00008671993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1487598,0.0001674141,0.832976,0.01370921,0.004083543,0.0001620905,0.00001828449,0.00001804607,0.0001056702],"genre_scores_gemma":[0.9266391,0.00003144088,0.07068548,0.001793513,0.0007857998,0.000006495175,0.00003949542,0.000009159055,0.000009477822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7778794,"threshold_uncertainty_score":0.4075865,"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."}}