{"id":"W4223960641","doi":"10.1155/2022/9627961","title":"Adaptive Evolution of the Fox Coronavirus Based on Genome‐Wide Sequence Analysis","year":2022,"lang":"en","type":"article","venue":"BioMed Research International","topic":"Animal Virus Infections Studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Biology; Phylogenetic tree; Genome; Mink; Genetics; Clade; Sequence analysis; Phylogenetics; Whole genome sequencing; Gene; Coronavirus; Evolutionary biology; Coronavirus disease 2019 (COVID-19)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008515554,0.0002847725,0.0003857742,0.00136113,0.0003052881,0.0005014299,0.0001984442,0.000346236,0.0005856968],"category_scores_gemma":[0.001217275,0.0001611561,0.0004291362,0.0008619715,0.0002611826,0.000302526,0.0003439819,0.000321344,0.0001801674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004115326,"about_ca_system_score_gemma":0.0003839579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002212326,"about_ca_topic_score_gemma":0.004859614,"domain_scores_codex":[0.999689,0.00005250285,0.00001650205,0.0001178436,0.00008790527,0.00003629445],"domain_scores_gemma":[0.9995474,0.0001290712,0.0001424583,0.00002892152,0.00009288185,0.00005909614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005269406,0.00007322613,0.4445472,0.0003978184,0.0007462123,0.0008368244,0.0009053019,0.004067793,0.5064609,0.0006316729,0.0004240807,0.04038204],"study_design_scores_gemma":[0.00001684733,0.0002835733,0.9670132,0.00007027324,0.0002758849,0.001026775,0.000298038,0.01095396,0.01438242,0.0003615206,0.005279292,0.00003820941],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919526,0.001299107,0.004893765,0.00006209315,0.000008058284,0.00002053462,0.0009348479,0.00003337758,0.0007955942],"genre_scores_gemma":[0.986108,0.0007293643,0.008959562,0.00008803054,0.00001824455,0.00002377508,0.003770933,0.00002617926,0.0002759053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002212326,"threshold_uncertainty_score":0.004503489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1885181879369582,"score_gpt":0.36916469008364,"score_spread":0.1806465021466818,"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."}}