{"id":"W4393951830","doi":"10.1371/journal.pone.0301195","title":"Assessing the emergence time of SARS-CoV-2 zoonotic spillover","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Université du Québec à Montréal; Agriculture and Agri-Food Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Clade; Biology; Phylogenetic tree; Evolutionary biology; Phylogenetics; Coronavirus; Betacoronavirus; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pangolin; Lineage (genetic); Most recent common ancestor; Genome; Horizontal gene transfer; Coronavirus disease 2019 (COVID-19); Gene; Genetics; Ecology; 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":[0.00219765,0.0003791159,0.0004977085,0.001253183,0.0005210238,0.0008127328,0.0003506734,0.0006079212,0.001088902],"category_scores_gemma":[0.00555602,0.0002347207,0.0006590324,0.001109475,0.0002870056,0.001093803,0.0008379946,0.0007765446,0.0002710019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003772448,"about_ca_system_score_gemma":0.0004198402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005699416,"about_ca_topic_score_gemma":0.005802942,"domain_scores_codex":[0.9994351,0.0001450002,0.00005393347,0.0002176163,0.0000533452,0.00009490955],"domain_scores_gemma":[0.9974843,0.00124752,0.0005832785,0.0001490841,0.0002559869,0.0002798148],"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":[0.0003233275,0.00005166235,0.9681152,0.0001374337,0.0003632329,0.0002870225,0.0002953165,0.01168396,0.008852145,0.0005862645,0.0005413324,0.008762998],"study_design_scores_gemma":[0.00003473768,0.0001957381,0.9299179,0.00007718719,0.0002751387,0.0004905271,0.0008758417,0.06332624,0.002039801,0.0006443413,0.002085384,0.00003711905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970284,0.0003481545,0.0012365,0.00005214729,0.000005702714,0.000006249435,0.0009648072,0.0000256019,0.0003324736],"genre_scores_gemma":[0.9944026,0.0001433792,0.00133857,0.00002241913,0.00001041093,0.000009146716,0.003994147,0.00001166854,0.00006769204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005699416,"threshold_uncertainty_score":0.01162243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1388834840150488,"score_gpt":0.3832450383132982,"score_spread":0.2443615542982494,"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."}}