{"id":"W3081047954","doi":"10.2196/20735","title":"The Novel Coronavirus Enigma: Phylogeny and Analyses of Coevolving Mutations Among the SARS-CoV-2 Viruses Circulating in India","year":2020,"lang":"en","type":"article","venue":"JMIR Bioinformatics and Biotechnology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University Grants Commission; Council of Scientific and Industrial Research, India; Indian Council of Medical Research","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Phylogenetics; Coronavirus; Coronavirus disease 2019 (COVID-19); Virology; Biology; 2019-20 coronavirus outbreak; Betacoronavirus; Sars virus; Evolutionary biology; Genetics; Gene; Medicine; Outbreak; Infectious disease (medical specialty); Disease; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003800752,0.0002433565,0.0002614043,0.002696764,0.000751015,0.0008498192,0.0004675056,0.0003315089,0.0004149739],"category_scores_gemma":[0.0005225878,0.0001220947,0.000399278,0.002884841,0.0005643468,0.0004913901,0.0005203087,0.0004683283,0.0001521759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005602759,"about_ca_system_score_gemma":0.0006616117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004287377,"about_ca_topic_score_gemma":0.005122584,"domain_scores_codex":[0.9997118,0.00002875544,0.00003109231,0.0001048439,0.00006635678,0.00005705776],"domain_scores_gemma":[0.9996208,0.00005936252,0.0001464983,0.00005482491,0.00007023289,0.00004839758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003918318,0.00008004619,0.8896386,0.0003523064,0.0002204414,0.001696472,0.00493771,0.001282523,0.04649083,0.001124064,0.0006193961,0.05316583],"study_design_scores_gemma":[0.000004161449,0.0001196369,0.9821797,0.00006541765,0.000134978,0.004451611,0.00284898,0.0009603844,0.001756871,0.0004946534,0.006966958,0.0000167482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934409,0.003372066,0.001236084,0.0001783627,0.00001275943,0.00002055245,0.0004215221,0.00001984738,0.001297847],"genre_scores_gemma":[0.9947701,0.001981035,0.001757009,0.00006386613,0.00001770181,0.0000109627,0.001191478,0.000006618332,0.0002012248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004287377,"threshold_uncertainty_score":0.008524895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09323465206754732,"score_gpt":0.3829306781773421,"score_spread":0.2896960261097948,"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."}}