{"id":"W4376875828","doi":"10.1016/j.ijid.2023.04.010","title":"IDENTIFYING THE NEXT MUTATION OF CONCERN – EXPLOITING GENOMICS FOR TRACKING SARS-COV-2 MUTATIONS AND THEIR BIOLOGICAL IMPACT IN CANADA","year":2023,"lang":"en","type":"article","venue":"International Journal of Infectious Diseases","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Calgary; Simon Fraser University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Mutation; Genomics; 2019-20 coronavirus outbreak; Tracking (education); Genetics; Computational biology; Biology; Virology; Medicine; Genome; Gene; Disease; Infectious disease (medical specialty); Internal medicine; Outbreak; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000710629,0.0007412134,0.0003602372,0.00331205,0.002114594,0.002799565,0.001140451,0.0004840617,0.005591744],"category_scores_gemma":[0.002203094,0.0003117705,0.000933244,0.003561868,0.0007662157,0.0008773872,0.002053364,0.0008617337,0.001240422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02214552,"about_ca_system_score_gemma":0.0343625,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9627151,"about_ca_topic_score_gemma":0.9718366,"domain_scores_codex":[0.9993224,0.00005115075,0.00002258917,0.0001373179,0.0003072618,0.0001592516],"domain_scores_gemma":[0.9985858,0.0001366423,0.00007856009,0.00007551146,0.0008785945,0.0002448233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001446428,0.0002320633,0.2427895,0.001296372,0.0004201983,0.002215209,0.009238532,0.04412301,0.06796106,0.03594372,0.179895,0.414439],"study_design_scores_gemma":[0.0001046216,0.000138918,0.2239402,0.0006109759,0.0003338581,0.0007976428,0.0115877,0.1505956,0.04901251,0.01653402,0.5456809,0.000663037],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4208623,0.004221069,0.2008829,0.01295033,0.0004634366,0.001029313,0.1591237,0.04316739,0.1572996],"genre_scores_gemma":[0.6655642,0.00341492,0.2676603,0.001034046,0.00003340191,0.0002049304,0.03519358,0.002216431,0.0246781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03728485,"threshold_uncertainty_score":0.1606778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.129007784957701,"score_gpt":0.4064126620462555,"score_spread":0.2774048770885545,"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."}}