{"id":"W3134183039","doi":"10.1371/journal.pone.0247799","title":"Genomic characterization and evolution of SARS-CoV-2 of a Canadian population","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Manitoba; Health Sciences Centre","funders":"","keywords":"Biology; Phylogenetic tree; Population; Genome; Viral evolution; Genetics; Pandemic; Virology; Sequence analysis; Phylogenetics; Virus; Coronavirus; Evolutionary biology; Gene; Coronavirus disease 2019 (COVID-19); Disease; Medicine; Infectious disease (medical specialty)","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":[0.000134883,0.0002688745,0.0001779471,0.0008310533,0.00114341,0.0004239429,0.0002285313,0.0001782438,0.001150018],"category_scores_gemma":[0.0004080229,0.0001024119,0.0002936703,0.00133417,0.0002913856,0.0001075367,0.0002461247,0.0002835369,0.0001129131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004073197,"about_ca_system_score_gemma":0.005544895,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8833991,"about_ca_topic_score_gemma":0.9174252,"domain_scores_codex":[0.9997819,0.00000994145,0.000006551856,0.00004849807,0.00007892242,0.00007415447],"domain_scores_gemma":[0.9998387,0.000009436028,0.000028284,0.000007827727,0.0000764401,0.00003929519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003806507,0.00006264623,0.8887224,0.0000754056,0.0001053634,0.001078911,0.0026354,0.0008320251,0.07506914,0.0007459761,0.0009904845,0.02930157],"study_design_scores_gemma":[0.00000432053,0.00005714672,0.9936264,0.000006823978,0.00002334981,0.0005158866,0.001099546,0.000417651,0.001179587,0.00004348364,0.003013699,0.00001210698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973249,0.0002414683,0.0002014845,0.00005860851,0.000004356143,0.00001413199,0.001160555,0.000003469521,0.0009909333],"genre_scores_gemma":[0.9964833,0.000317569,0.000500382,0.00004333016,0.000003407115,0.000005308586,0.001688024,0.000003915068,0.0009546949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1166009,"threshold_uncertainty_score":0.2345752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08014368076180882,"score_gpt":0.299210799845581,"score_spread":0.2190671190837721,"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."}}