{"id":"W3130702321","doi":"10.1109/bigdatase50710.2020.00010","title":"Big Data Science on COVID-19 Data","year":2020,"lang":"en","type":"article","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Big data; Data science; Coronavirus disease 2019 (COVID-19); Computer science; Disease; Epidemiology; Variety (cybernetics); Data mining; Infectious disease (medical specialty); Medicine; Artificial intelligence; Pathology","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":[0.0238911,0.001500157,0.001675228,0.01000955,0.003159566,0.01283377,0.004331969,0.003358233,0.004950308],"category_scores_gemma":[0.1110073,0.001361234,0.002530041,0.01789635,0.004111813,0.01937112,0.01003001,0.007681735,0.003370506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003232059,"about_ca_system_score_gemma":0.005694769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006007692,"about_ca_topic_score_gemma":0.00467267,"domain_scores_codex":[0.9713426,0.009095699,0.002534731,0.003880417,0.01241488,0.0007316986],"domain_scores_gemma":[0.8801797,0.06744141,0.005550517,0.02561277,0.01698484,0.004230777],"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":[0.0008822681,0.0003780052,0.02734912,0.004073272,0.001103611,0.001623612,0.002175315,0.03698105,0.005085127,0.3214467,0.2692343,0.3296676],"study_design_scores_gemma":[0.0001177636,0.0001429185,0.005154183,0.001248392,0.0001725524,0.0007990445,0.00155021,0.1467088,0.004762709,0.5469005,0.2922696,0.0001733953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01860362,0.01086217,0.7809296,0.09485157,0.004410367,0.001788305,0.03473533,0.01908309,0.03473591],"genre_scores_gemma":[0.206189,0.0110253,0.6945965,0.01823209,0.0037215,0.001109154,0.05872604,0.001829533,0.004570814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0238911,"threshold_uncertainty_score":0.1263497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4690655048335061,"score_gpt":0.4562715510661046,"score_spread":0.0127939537674015,"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."}}