{"id":"W3024242776","doi":"10.1016/j.virusres.2020.198022","title":"COVID-19: CADD to the rescue","year":2020,"lang":"en","type":"article","venue":"Virus Research","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Outbreak; Biology; 2019-20 coronavirus outbreak; Pandemic; Coronavirus; Disease; Drug; Virtual screening; Computational biology; Infectious disease (medical specialty); Virology; Computer science; Drug discovery; Bioinformatics; Pharmacology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003381386,0.00008627131,0.0001020891,0.0001544513,0.0004415022,0.0003698058,0.002579259,0.00003397145,0.0001198542],"category_scores_gemma":[0.007087168,0.00006219812,0.00005078004,0.002382552,0.00008895803,0.0002102107,0.001816179,0.0004479678,0.001775262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000158697,"about_ca_system_score_gemma":0.001214518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007965434,"about_ca_topic_score_gemma":0.0002224478,"domain_scores_codex":[0.9962764,0.001314293,0.000166433,0.0005071709,0.001290904,0.0004447743],"domain_scores_gemma":[0.9965221,0.001728776,0.00001449496,0.0006478205,0.0001867432,0.0009000669],"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":[0.000106759,0.00006929181,0.00008120456,0.00004978228,0.00002872298,0.0001371695,0.01231828,0.1841112,0.004366303,0.242754,0.4510174,0.1049598],"study_design_scores_gemma":[0.0001479421,0.0001337095,0.0007550836,0.000003786515,7.297259e-7,0.000005319142,0.00008803254,0.1875678,0.002120626,0.008637343,0.8004254,0.0001142169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007843548,0.0001488401,0.7086362,0.2789761,0.0001486904,0.0004577434,0.0000134592,0.0001270679,0.003648331],"genre_scores_gemma":[0.7971705,0.00005958997,0.1003531,0.09931058,0.001262521,0.0002692952,0.000006594628,0.00004595108,0.001521858],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.789327,"threshold_uncertainty_score":0.999002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3289414365037605,"score_gpt":0.502240847879611,"score_spread":0.1732994113758505,"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."}}