{"id":"W3159831454","doi":"","title":"Phylogenetic analysis of 48 early sars-cov-2 genomes","year":2021,"lang":"en","type":"article","venue":"University of Toronto Medical Journal","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phylogenetic tree; Genome; Biology; Pandemic; Genetics; Population; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Evolutionary biology; Most recent common ancestor; Coronavirus; Coronavirus disease 2019 (COVID-19); Computational biology; Gene; Medicine; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006020869,0.0006327768,0.0005936055,0.003484693,0.001219808,0.0007292156,0.0003666976,0.0005058877,0.002235394],"category_scores_gemma":[0.001980564,0.0002820467,0.0009535489,0.003169899,0.0002388519,0.0004183833,0.000902838,0.0007040288,0.001093698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008358959,"about_ca_system_score_gemma":0.0008075286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006958195,"about_ca_topic_score_gemma":0.0115292,"domain_scores_codex":[0.999348,0.00008991047,0.00005198163,0.0002335407,0.0001311322,0.0001455033],"domain_scores_gemma":[0.9992319,0.0002099955,0.0001508462,0.00007582884,0.0001952552,0.0001362309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00264981,0.0003885283,0.5570055,0.002485643,0.001469905,0.002391095,0.003258271,0.01568092,0.3047099,0.001415015,0.01236225,0.09618314],"study_design_scores_gemma":[0.00005704965,0.00030594,0.9318295,0.000213798,0.0004449225,0.001693513,0.0009889576,0.01239281,0.009601576,0.0006403312,0.0417763,0.00005527049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616195,0.00141052,0.002906863,0.0001241595,0.00002464485,0.00007043924,0.03193878,0.0002510069,0.001654104],"genre_scores_gemma":[0.8014495,0.001150137,0.01701223,0.000165485,0.00002599358,0.0001293434,0.1786589,0.0002281491,0.001180316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006958195,"threshold_uncertainty_score":0.01383537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02796791861950431,"score_gpt":0.3087167539078531,"score_spread":0.2807488352883488,"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."}}