{"id":"W3107140211","doi":"10.1101/2020.12.02.408005","title":"One hundred million years history of bornavirus infections hidden in vertebrate genomes","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Virology and Viral Diseases","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Medical Science, University of Tokyo; Japan Society for the Promotion of Science; Institute of Genetics; University of Tokyo; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Biology; Lineage (genetic); Clade; Vertebrate; Phylogenetic tree; Evolutionary biology; Phylogenetics; Genome; Primate; Host (biology); Mammal; Viral evolution; Zoology; Genetics; Ecology; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005754502,0.0001954193,0.0003112692,0.001275933,0.0009527662,0.0008045791,0.0002582242,0.0003876677,0.001642126],"category_scores_gemma":[0.001014093,0.0002530434,0.0003954868,0.001372374,0.0004496569,0.0008365394,0.000900932,0.0005434536,0.0002985681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004414202,"about_ca_system_score_gemma":0.0002318592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001673344,"about_ca_topic_score_gemma":0.003330366,"domain_scores_codex":[0.9996427,0.00004924626,0.00002649077,0.0001635283,0.00006132796,0.00005662515],"domain_scores_gemma":[0.9994789,0.00009616587,0.000211956,0.00005785349,0.00007696154,0.00007822078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003328056,0.00004457057,0.7992479,0.0006831724,0.0005959159,0.001495273,0.003179534,0.001381189,0.1357761,0.00362179,0.00112378,0.0525179],"study_design_scores_gemma":[0.000008051258,0.0001231644,0.9622602,0.0001633248,0.0003034894,0.002271352,0.001131138,0.002562802,0.006807463,0.002015324,0.02230276,0.00005090464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880768,0.005569426,0.003010686,0.00009753598,0.00003538349,0.00000902207,0.0009572146,0.00008973421,0.002154196],"genre_scores_gemma":[0.9941655,0.00151919,0.001885753,0.00007529889,0.0000262199,0.00001028321,0.001730872,0.00002470212,0.0005622074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001673344,"threshold_uncertainty_score":0.005493522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0294215674212113,"score_gpt":0.2397515501662521,"score_spread":0.2103299827450408,"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."}}