{"id":"W4200310839","doi":"10.1109/embc46164.2021.9629505","title":"Detecting Uncertainty of Mortality Prediction Using Confident Learning","year":2021,"lang":"en","type":"article","venue":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Class (philosophy); Outcome (game theory); Predictive modelling; Intensive care; Missing data; Patient care; Estimation; Intensive care unit","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01902371,0.001594817,0.001542658,0.002652313,0.0007278114,0.002960185,0.002757539,0.00215461,0.0007991959],"category_scores_gemma":[0.08091366,0.0006157315,0.001169943,0.001483083,0.001704513,0.004160143,0.004265981,0.003835133,0.0002482497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286556,"about_ca_system_score_gemma":0.001338699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003228218,"about_ca_topic_score_gemma":0.002142856,"domain_scores_codex":[0.9921904,0.003763449,0.0006225864,0.001503179,0.00146251,0.0004577854],"domain_scores_gemma":[0.8878843,0.09313679,0.007582837,0.006515803,0.003876438,0.001003841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007558493,0.0002553638,0.07413165,0.0002107105,0.0002793702,0.0002972389,0.0002887099,0.822938,0.0009928964,0.007707013,0.002645885,0.08949739],"study_design_scores_gemma":[0.00001330307,0.00006498237,0.002996729,0.0000323766,0.00002310618,0.00004784541,0.0000261323,0.9866763,0.0008896809,0.008896491,0.0003118785,0.00002128753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.365109,0.002318297,0.6247805,0.002674122,0.000166672,0.0001404354,0.001605634,0.0009422443,0.002263118],"genre_scores_gemma":[0.973195,0.0002994771,0.02459041,0.0002826763,0.0001616054,0.00005978288,0.001074163,0.00002950759,0.0003072806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01902371,"threshold_uncertainty_score":0.1006082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06862648754161094,"score_gpt":0.3509250016623806,"score_spread":0.2822985141207697,"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."}}