{"id":"W3035689202","doi":"10.1016/s2589-7500(20)30140-0","title":"Genotyping SARS-CoV-2 through an interactive web application","year":2020,"lang":"en","type":"article","venue":"The Lancet Digital Health","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Public Health Agency of Canada; McMaster University; University Health Network; University of Toronto; Sunnybrook Health Science Centre; Canadian Institute for Advanced Research; Vector Institute; Health Sciences Centre","funders":"","keywords":"Scopus; Pandemic; Dashboard; World Wide Web; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Virology; Biology; MEDLINE; Medicine; Disease; Data science; Computer science","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":[0.002192627,0.001757146,0.001217255,0.005549512,0.0005244889,0.002188624,0.001454373,0.001270551,0.09466969],"category_scores_gemma":[0.006708981,0.0005570297,0.001360845,0.003441069,0.0002330603,0.00176421,0.002130502,0.0008594733,0.02967187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004446734,"about_ca_system_score_gemma":0.000989207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003001902,"about_ca_topic_score_gemma":0.005872684,"domain_scores_codex":[0.9990062,0.0002342535,0.00009820369,0.0002123451,0.0003724334,0.00007660828],"domain_scores_gemma":[0.9960097,0.002442998,0.0003149052,0.0002753506,0.0006298312,0.000327209],"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":[0.001664875,0.0002893465,0.008377743,0.002444233,0.0004280622,0.000743273,0.000286726,0.001062273,0.005791433,0.001167083,0.6198845,0.3578605],"study_design_scores_gemma":[0.001598659,0.0006448526,0.04491654,0.002087437,0.0007205739,0.00161307,0.0006569735,0.01681576,0.01484808,0.01192376,0.9036812,0.0004931809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.02870401,0.007720074,0.08862864,0.007182356,0.002178129,0.002699238,0.4398003,0.3139464,0.109141],"genre_scores_gemma":[0.1518104,0.009714301,0.3636422,0.006542382,0.001655879,0.005183779,0.3585576,0.01754519,0.08534834],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.09466969,"threshold_uncertainty_score":0.3167017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.127759268341189,"score_gpt":0.4267845779067485,"score_spread":0.2990253095655595,"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."}}