{"id":"W4367601161","doi":"10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a1650","title":"Machine Learning Based Model to Predict COVID-19 Mortality Using Clinical Data and Serum Cytokine Levels","year":2023,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Computer science; Data modeling; Cytokine; Artificial intelligence; Machine learning; Medicine; Immunology; Internal medicine; Infectious disease (medical specialty)","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":[0.0009248758,0.0006528125,0.0007635073,0.001017452,0.0003457181,0.0008192866,0.0007711378,0.0008752916,0.002835241],"category_scores_gemma":[0.001606012,0.0002459485,0.0009352553,0.0005335819,0.0001859323,0.0003829428,0.0003330806,0.0009918044,0.0008871243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006854502,"about_ca_system_score_gemma":0.001122265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01185033,"about_ca_topic_score_gemma":0.008176417,"domain_scores_codex":[0.9997714,0.0000523375,0.00002352586,0.00006678599,0.00003776969,0.00004818229],"domain_scores_gemma":[0.9992639,0.0004361347,0.0000597682,0.00002620644,0.0001814074,0.00003247588],"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":[0.001516858,0.001505694,0.08368657,0.0001816662,0.0006490929,0.0004854613,0.000103252,0.7514954,0.003570203,0.001314129,0.006271533,0.1492202],"study_design_scores_gemma":[0.00001542548,0.0000943659,0.003239986,0.000008886351,0.00003758717,0.00003379252,0.00000977303,0.9957451,0.0002908599,0.0003107037,0.0002074962,0.000006011809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.756188,0.002448808,0.2250521,0.002677971,0.0006692426,0.0002565876,0.004397856,0.001685876,0.006623588],"genre_scores_gemma":[0.9815459,0.0003625056,0.01085656,0.0001735651,0.00009149309,0.0001558715,0.001495432,0.00001453441,0.005304193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01185033,"threshold_uncertainty_score":0.02356273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.817430937144851,"score_gpt":0.6556430566611307,"score_spread":0.1617878804837204,"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."}}