{"id":"W4205278595","doi":"10.1101/2022.01.10.22268985","title":"An ensemble prediction model for COVID-19 mortality risk","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Calgary","funders":"Alberta Innovates","keywords":"Cohort; Machine learning; Artificial intelligence; Key (lock); Preprocessor; Computer science; Stage (stratigraphy); Intensive care medicine; Medicine; Coronavirus disease 2019 (COVID-19); Internal medicine; Disease","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":[0.001931291,0.00102013,0.001189982,0.001477828,0.0003538332,0.0008814852,0.00078614,0.0008372822,0.00211357],"category_scores_gemma":[0.003881548,0.0002548718,0.0008891683,0.0006793147,0.0001961282,0.000527451,0.0005183922,0.001230759,0.000714319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000572614,"about_ca_system_score_gemma":0.0006686078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009605083,"about_ca_topic_score_gemma":0.005719672,"domain_scores_codex":[0.9995413,0.0001461837,0.00002930923,0.0001383312,0.00007167179,0.00007320356],"domain_scores_gemma":[0.9982906,0.00102706,0.0001448194,0.0001218975,0.0003270853,0.00008854034],"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":[0.0006178524,0.000420675,0.1254941,0.00006107488,0.0004808019,0.0003607379,0.0000979591,0.7277573,0.002334249,0.001619355,0.008313435,0.1324425],"study_design_scores_gemma":[0.000006161264,0.0000277284,0.003902399,0.00000722487,0.00002401281,0.00002829968,0.000006614068,0.994926,0.0001919903,0.0006840858,0.0001872012,0.000008272988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6385922,0.001709605,0.3478272,0.00165411,0.0003405768,0.0001697254,0.004756266,0.001590796,0.003359459],"genre_scores_gemma":[0.9687811,0.0003299874,0.02546927,0.0001380934,0.0001255678,0.0001125569,0.002880782,0.00004568858,0.002117032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009605083,"threshold_uncertainty_score":0.01909834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1051127588295503,"score_gpt":0.4001011532597131,"score_spread":0.2949883944301628,"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."}}