{"id":"W3212615285","doi":"10.1101/2021.11.08.21266091","title":"Data-driven prognosis for COVID-19 patients based on symptoms and age","year":2021,"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":"Université de Montréal; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coronavirus disease 2019 (COVID-19); Code (set theory); Computer science; Diagnosis code; Medicine; Integer (computer science); Health records; Medical emergency; Health care; Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006811809,0.0006699734,0.0006253741,0.002956942,0.0003868387,0.001577509,0.0007714917,0.0006115591,0.003642729],"category_scores_gemma":[0.006104979,0.0001949802,0.0006143411,0.001722241,0.0002513713,0.0007526662,0.000795175,0.0006584774,0.002035891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009593313,"about_ca_system_score_gemma":0.001500777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01352104,"about_ca_topic_score_gemma":0.01337207,"domain_scores_codex":[0.999543,0.00005228164,0.00005504135,0.0001420438,0.0001542053,0.00005357151],"domain_scores_gemma":[0.9984457,0.0007133252,0.0001813164,0.0001842905,0.0003592866,0.0001161231],"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":[0.001961877,0.0004094626,0.144601,0.0004387897,0.0002264088,0.001080887,0.0004123114,0.1110917,0.01341254,0.006788584,0.05873148,0.6608449],"study_design_scores_gemma":[0.0001169435,0.0001364316,0.02432801,0.00008333269,0.00006289411,0.0008351986,0.0002980382,0.9331664,0.01212713,0.01414677,0.01463754,0.00006136726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1954315,0.001450979,0.7039965,0.005703446,0.0006282423,0.0009635388,0.05733079,0.02817126,0.006323771],"genre_scores_gemma":[0.480051,0.000751378,0.467774,0.0005395875,0.0003915958,0.0005342768,0.04563467,0.0003950087,0.003928449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01352104,"threshold_uncertainty_score":0.02688468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08636345986627644,"score_gpt":0.3644409440837335,"score_spread":0.278077484217457,"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."}}