{"id":"W3094228243","doi":"10.2196/22400","title":"A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development Study","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Machine learning; Medicine; Artificial intelligence; Algorithm; Health care; Mews; APACHE II; Intensive care unit; Computer science; Data pre-processing; Early warning score; Medical emergency; Intensive care medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04194077,0.0008434525,0.0008172975,0.001402518,0.0006767949,0.001398099,0.001207833,0.001408171,0.0013558],"category_scores_gemma":[0.1097679,0.0003589278,0.0009757734,0.0009287657,0.0005669281,0.001510931,0.001347024,0.00162206,0.0002662724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220108,"about_ca_system_score_gemma":0.003309401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003381536,"about_ca_topic_score_gemma":0.002210808,"domain_scores_codex":[0.9859588,0.01146406,0.0005053895,0.000847636,0.0009782843,0.0002459255],"domain_scores_gemma":[0.8777764,0.1070472,0.002337886,0.003215559,0.009076103,0.00054695],"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":[0.002077234,0.002369239,0.2725221,0.0003446863,0.001068444,0.0002773409,0.0006791503,0.3457195,0.001021023,0.012782,0.00393785,0.3572014],"study_design_scores_gemma":[0.0001617384,0.0005572451,0.006777958,0.00006251553,0.0001232835,0.000106206,0.00006589526,0.9879361,0.0007077485,0.002813196,0.0006741431,0.00001406304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.506448,0.001895214,0.4846434,0.001305614,0.0001124129,0.001241714,0.000291842,0.0004032812,0.003658516],"genre_scores_gemma":[0.7106399,0.0005321931,0.2860337,0.0003763334,0.00007062266,0.0009937737,0.0004539661,0.00006392657,0.0008355295],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04194077,"threshold_uncertainty_score":0.2218067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1562998670271255,"score_gpt":0.3618231222955445,"score_spread":0.2055232552684189,"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."}}