{"id":"W4283773361","doi":"10.32942/osf.io/8mgv6","title":"The coevolutionary mosaic of bat betacoronavirus emergence risk","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Courtois Foundation; National Institute of General Medical Sciences; Massey University; Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; Compute Canada; National Institutes of Health; National Science Foundation","keywords":"Evolutionary biology; Coevolution; Lineage (genetic); Diversification (marketing strategy); Biology; Mosaic; Pandemic; Geography; Ecology; Phylogeography; Phylogenetics; Coronavirus disease 2019 (COVID-19); Disease; Infectious disease (medical specialty); Genetics","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":[0.001151861,0.0001816947,0.0004059656,0.0009211045,0.0004698501,0.001564325,0.0004372944,0.0005428127,0.001247626],"category_scores_gemma":[0.005041115,0.00025644,0.0004839273,0.0006804563,0.0009639711,0.00125435,0.001002858,0.0005134458,0.00007939255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008190423,"about_ca_system_score_gemma":0.000350973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004055066,"about_ca_topic_score_gemma":0.004891452,"domain_scores_codex":[0.9993807,0.0002527706,0.00002864622,0.0001991463,0.0000633928,0.00007538822],"domain_scores_gemma":[0.998582,0.000673206,0.0003777759,0.0001666721,0.00008062898,0.0001197359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002324721,0.0000674889,0.6644463,0.0001744543,0.0005956009,0.0006290325,0.001553659,0.1681643,0.03282867,0.0879135,0.0006864457,0.04270817],"study_design_scores_gemma":[0.00002502777,0.0001191949,0.5445371,0.00004631635,0.0001239937,0.0007973026,0.001169793,0.3475979,0.001124084,0.1026982,0.001701774,0.00005930084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781048,0.0001951602,0.01928031,0.0002066688,0.000004180533,0.00001122556,0.0001221171,0.00004406334,0.002031554],"genre_scores_gemma":[0.9975203,0.00005740832,0.002218631,0.0000159436,0.000003042333,0.00000539604,0.00003971117,0.000006030768,0.0001335314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004055066,"threshold_uncertainty_score":0.008062899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02738799403932235,"score_gpt":0.2436712389236758,"score_spread":0.2162832448843535,"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."}}