{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002599673,0.002027137,0.002836971,0.001234402,0.001553941,0.002984488,0.005085091,0.003322568,0.04446704],"category_scores_gemma":[0.006736338,0.001038187,0.002267059,0.0009856997,0.001313826,0.00157833,0.003994142,0.005499136,0.02212778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295597,"about_ca_system_score_gemma":0.002292325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003486601,"about_ca_topic_score_gemma":0.00426339,"domain_scores_codex":[0.9987633,0.000414009,0.00007046745,0.0002602225,0.0003319522,0.0001600549],"domain_scores_gemma":[0.9989074,0.000483908,0.00003940191,0.0002783364,0.0001349389,0.0001559988],"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":[0.001159466,0.0003083434,0.001824713,0.001609521,0.0004401818,0.0003879905,0.0002424224,0.03601687,0.01270049,0.06202607,0.7303903,0.1528936],"study_design_scores_gemma":[0.001274926,0.0004178008,0.0006161716,0.0005071144,0.0001905945,0.0004990324,0.0001270595,0.3084634,0.02380651,0.09574029,0.5681276,0.0002294382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01967878,0.006434638,0.5425666,0.007264366,0.008205334,0.0005921293,0.04472902,0.3139586,0.05657052],"genre_scores_gemma":[0.1776271,0.006298606,0.5990819,0.007575617,0.0009201159,0.002261922,0.1153068,0.06054931,0.03037873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04446704,"threshold_uncertainty_score":0.148757,"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."}}