{"id":"W4387832644","doi":"10.21065/advjbiomedsci.5.1","title":"COVID-19: RELIABLE SCIENTIFIC KNOWLEDGE AMID UNCERTAIN AND COMPLEX INFORMATION","year":2020,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Data science; Virology; Computer science; Epistemology; Medicine; Philosophy; Outbreak; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02395991,0.001921847,0.002741903,0.01706701,0.004806905,0.02689904,0.006460079,0.003813845,0.04907947],"category_scores_gemma":[0.09619325,0.002504593,0.001991896,0.01949588,0.004597203,0.01301465,0.01463163,0.004244111,0.04110231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006967361,"about_ca_system_score_gemma":0.05045915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08923705,"about_ca_topic_score_gemma":0.1043968,"domain_scores_codex":[0.9797608,0.003066085,0.002632915,0.001549232,0.0119114,0.001079604],"domain_scores_gemma":[0.8915998,0.03386942,0.004127611,0.02817529,0.03637526,0.005852587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002983509,0.00008918763,0.00220683,0.002498626,0.000186904,0.0008216808,0.0006156318,0.005236419,0.00213992,0.1112033,0.576126,0.2985771],"study_design_scores_gemma":[0.00009209136,0.00004014286,0.001188222,0.00144719,0.00006725209,0.0005241398,0.0004258552,0.01961993,0.003106663,0.09421811,0.879136,0.0001343607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.002832341,0.005457954,0.722041,0.01508985,0.002719466,0.002211335,0.07803632,0.06707968,0.1045321],"genre_scores_gemma":[0.04266959,0.009479337,0.6999178,0.002102989,0.001308657,0.001370034,0.1769219,0.01244256,0.05378714],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.08923705,"threshold_uncertainty_score":0.1774352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3686656086016869,"score_gpt":0.5169381065006352,"score_spread":0.1482724978989483,"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."}}