{"id":"W4405675167","doi":"10.1684/vir.2024.1068","title":"From viral disease gender to viral species subclassification: how to find our way around?","year":2024,"lang":"en","type":"article","venue":"Virologie","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Agence Nationale de la Recherche","keywords":"Disease; Virology; Biology; Computational biology; Medicine; Internal medicine","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":[0.01373509,0.0008254086,0.002880964,0.002693732,0.001924385,0.01010186,0.002993072,0.003856556,0.03778561],"category_scores_gemma":[0.05928235,0.0003931011,0.001389955,0.002633055,0.004764861,0.01578974,0.003618072,0.01034799,0.005733358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003006952,"about_ca_system_score_gemma":0.005467457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01105008,"about_ca_topic_score_gemma":0.0119966,"domain_scores_codex":[0.9969118,0.001533284,0.0002857612,0.0005642694,0.0004235248,0.0002812799],"domain_scores_gemma":[0.9723652,0.01578778,0.001694617,0.0006886928,0.007087233,0.002376526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003960261,0.0001601226,0.03401935,0.001890234,0.000285926,0.0004159615,0.002836976,0.0004988554,0.0007722093,0.06452155,0.36985,0.5243527],"study_design_scores_gemma":[0.00009434333,0.0003126438,0.04427661,0.01675013,0.0006665289,0.001951512,0.03901836,0.00318608,0.000789305,0.4674536,0.4251383,0.0003625774],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.009377583,0.1522913,0.01331275,0.7925255,0.01899083,0.0000406531,0.001020793,0.0002327407,0.01220794],"genre_scores_gemma":[0.3749989,0.2725715,0.02165359,0.2243198,0.07694884,0.0002400265,0.001843744,0.0009796728,0.02644395],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03778561,"threshold_uncertainty_score":0.1264055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09529746939478108,"score_gpt":0.3409127147084848,"score_spread":0.2456152453137037,"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."}}