{"id":"W4212924409","doi":"10.3389/fmed.2022.826746","title":"Population Genomics Approaches for Genetic Characterization of SARS-CoV-2 Lineages","year":2022,"lang":"en","type":"article","venue":"Frontiers in Medicine","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Mila - Quebec Artificial Intelligence Institute; McGill University; Université de Montréal; Montreal Heart Institute","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; Institut de Cardiologie de Montréal; Compute Canada; Canadian Institute for Advanced Research; Fondation Institut de Cardiologie de Montréal; National Science Foundation","keywords":"Biology; Genomics; Context (archaeology); Computational biology; Genome; Genetics; Population; Haplotype; Genetic diversity; Evolutionary biology; Gene; Allele; Medicine","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":[0.001540258,0.000635454,0.0007907727,0.003404665,0.0004737414,0.0008477467,0.0006307064,0.0006220547,0.00121985],"category_scores_gemma":[0.005122062,0.0004090329,0.001141877,0.001783472,0.0004919373,0.0007487719,0.0009579819,0.001031535,0.0002074599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008577612,"about_ca_system_score_gemma":0.0009242425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007119338,"about_ca_topic_score_gemma":0.00509702,"domain_scores_codex":[0.9994581,0.0002894163,0.00002383403,0.0001274461,0.00006709301,0.00003409466],"domain_scores_gemma":[0.998728,0.0009069905,0.0001504845,0.00007518531,0.00008463524,0.00005466098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001357547,0.0001217398,0.03183719,0.0001579917,0.0004731744,0.0002516407,0.0004570901,0.8683842,0.009381956,0.02075212,0.0006985835,0.06734853],"study_design_scores_gemma":[0.00001110243,0.00003078324,0.004940931,0.000008510285,0.00002402586,0.00003099638,0.00009424236,0.9777459,0.0004183067,0.01610962,0.0005713823,0.00001419827],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2561732,0.0006331612,0.739082,0.0004073575,0.00002875163,0.0001512624,0.001295434,0.0006586586,0.001570145],"genre_scores_gemma":[0.6785412,0.0005564039,0.317698,0.0001204517,0.00006480169,0.0003126425,0.00205012,0.0001368522,0.0005195219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007119338,"threshold_uncertainty_score":0.01415581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07939079402155771,"score_gpt":0.3344471400884041,"score_spread":0.2550563460668464,"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."}}