{"id":"W3047391563","doi":"10.1002/vms3.332","title":"Emergence of rabbit haemorrhagic disease virus 2 in China in 2020","year":2020,"lang":"en","type":"article","venue":"Veterinary Medicine and Science","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"National Key Research and Development Program of China","keywords":"Outbreak; China; Virus; Virology; Biology; Southern china; Genotype; Phylogenetic tree; Disease; Hemagglutination; Veterinary medicine; Medicine; Genetics; Geography; Internal medicine; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006451523,0.00009605318,0.0003573962,0.0001860136,0.00002981282,0.000002466174,0.0001717224,0.00002061297,0.0002705374],"category_scores_gemma":[0.001612248,0.00007167441,0.00002229762,0.0008393595,0.0009804686,0.0001336917,0.0001461286,0.0001895549,0.00000418702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001192737,"about_ca_system_score_gemma":0.0001056158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000293985,"about_ca_topic_score_gemma":0.00001377341,"domain_scores_codex":[0.9986047,0.00007464013,0.0003378338,0.0003454707,0.0002879824,0.0003493621],"domain_scores_gemma":[0.9992275,0.00002001524,0.00004317659,0.0001442849,0.0000288902,0.0005361052],"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":[0.002198159,0.0001301306,0.3600119,0.0004703124,0.000003837468,0.004495766,0.001616066,0.00001955398,0.6176289,0.00008544792,0.00213013,0.01120971],"study_design_scores_gemma":[0.001661548,0.005482157,0.9795275,0.0003979334,0.000006065423,0.0001781112,0.0004614399,0.0113219,0.0002122682,0.0001117387,0.0005599985,0.00007938306],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785596,0.001325384,0.00005903786,0.01923935,0.00005931527,0.0001809706,0.000004534485,0.000008045693,0.0005637537],"genre_scores_gemma":[0.9966062,0.001574319,0.0002524316,0.001460281,0.00007144172,0.000008394652,0.000003333435,0.000004125404,0.00001951156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6195155,"threshold_uncertainty_score":0.3612577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08827440919809751,"score_gpt":0.3752538384488818,"score_spread":0.2869794292507843,"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."}}