{"id":"W3028083463","doi":"10.1093/bib/bbaa232","title":"Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research","year":2020,"lang":"en","type":"review","venue":"Briefings in Bioinformatics","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Wellcome Trust; Biotechnology and Biological Sciences Research Council; Intramural Research Program; Agence Nationale de la Recherche; National Institute of Allergy and Infectious Diseases; Medical Research Council; National Institutes of Health; Fondation Innovations en Infectiologie; Max-Planck-Gesellschaft; U.S. National Library of Medicine; Consejo Nacional de Investigaciones Científicas y Técnicas; National Institute of General Medical Sciences; Bundesministerium für Bildung und Forschung; National Human Genome Research Institute; Horizon 2020 Framework Programme; Agencia Nacional de Promoción Científica y Tecnológica; Staatssekretariat für Bildung, Forschung und Innovation; Deutsche Forschungsgemeinschaft; European Commission; European Bioinformatics Institute; Joachim Herz Stiftung; European Molecular Biology Laboratory; Velux Fonden; Carl-Zeiss-Stiftung","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Coronavirus; Betacoronavirus; Pandemic; Virology; Coronavirus Infections; Sars virus; Computer science; Medicine; Infectious disease (medical specialty); Disease; Outbreak","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":[0.001882726,0.001402009,0.001563804,0.001668079,0.0002886896,0.001552482,0.001458383,0.001446377,0.006168936],"category_scores_gemma":[0.005068049,0.0004585347,0.001655232,0.001917672,0.0004642429,0.001628251,0.00111262,0.002733742,0.003726188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008044151,"about_ca_system_score_gemma":0.001775584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001768867,"about_ca_topic_score_gemma":0.002083674,"domain_scores_codex":[0.9994137,0.0002581362,0.00005916339,0.00007976565,0.0001471544,0.00004201863],"domain_scores_gemma":[0.997985,0.001465963,0.00009919897,0.00006995953,0.000278775,0.0001010552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001129849,0.0001060837,0.0005460901,0.01562044,0.0008317761,0.000109801,0.00008778644,0.01028896,0.001015345,0.02234535,0.09097296,0.8579624],"study_design_scores_gemma":[0.0001539485,0.0002090328,0.0007636548,0.008096441,0.0006962061,0.0004431238,0.0000681016,0.01209065,0.001532119,0.03598984,0.9398658,0.00009102786],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007064421,0.969143,0.01820651,0.00459815,0.001176426,0.00006783183,0.0004546012,0.0005727756,0.005074278],"genre_scores_gemma":[0.006625119,0.9590107,0.02837671,0.001917531,0.0007667143,0.0001454267,0.00111927,0.0001792072,0.001859317],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006168936,"threshold_uncertainty_score":0.02063715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4185659936969426,"score_gpt":0.5144904201730778,"score_spread":0.09592442647613514,"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."}}