{"id":"W3197329507","doi":"10.3390/v13091790","title":"Dating the Common Ancestor from an NCBI Tree of 83688 High-Quality and Full-Length SARS-CoV-2 Genomes","year":2021,"lang":"en","type":"article","venue":"Viruses","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Most recent common ancestor; Phylogenetic tree; Genome; Biology; Ancestor; Phylogenetics; Evolutionary biology; Coronavirus disease 2019 (COVID-19); Whole genome sequencing; Genetics; Gene; Geography; Medicine; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001758722,0.0005701203,0.0007226814,0.003001642,0.001596524,0.001629895,0.0005497888,0.0009701351,0.003553157],"category_scores_gemma":[0.007036426,0.0005461383,0.001148157,0.005503819,0.0005286361,0.001763321,0.0009336882,0.001708084,0.00273372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065053,"about_ca_system_score_gemma":0.0008358231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002703848,"about_ca_topic_score_gemma":0.006249892,"domain_scores_codex":[0.9991937,0.000190195,0.00006076985,0.0002668776,0.0001896404,0.00009886589],"domain_scores_gemma":[0.9977418,0.0007714307,0.0003257988,0.0002917379,0.0006357216,0.0002334867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003458395,0.0003962285,0.2382749,0.00603498,0.001619546,0.002982617,0.007117637,0.04431954,0.3272398,0.03091992,0.05618404,0.2814524],"study_design_scores_gemma":[0.0002073284,0.0007045867,0.4171416,0.001593268,0.001108092,0.005392633,0.003392767,0.08593479,0.02876505,0.0263189,0.4290501,0.0003909342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7359378,0.01343913,0.1463292,0.002037233,0.0007226194,0.000216286,0.08390009,0.003321766,0.01409578],"genre_scores_gemma":[0.5168681,0.005803063,0.307716,0.0005689234,0.0002015446,0.000204496,0.1632897,0.001670214,0.003678036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003553157,"threshold_uncertainty_score":0.01188648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1679203897192879,"score_gpt":0.428701924171657,"score_spread":0.2607815344523691,"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."}}