{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002080686,0.0002162426,0.0002812942,0.000171718,0.00008404344,0.0002243144,0.0002024338,0.0000998221,0.0005863397],"category_scores_gemma":[0.0004343005,0.0001697107,0.0001495285,0.0002728541,0.00003518906,0.0001469344,0.0001050258,0.000216332,0.001424925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001939841,"about_ca_system_score_gemma":0.0004749021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000702058,"about_ca_topic_score_gemma":0.000004984583,"domain_scores_codex":[0.9982131,0.00006276134,0.0002387007,0.0006058963,0.0003774235,0.0005021251],"domain_scores_gemma":[0.9980761,0.00009322137,0.00002671873,0.0006145696,0.00005249542,0.00113686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002039358,0.0008352916,0.01744739,0.0005883643,0.0003890825,0.001510108,0.002098649,0.0001572947,0.009969476,0.02289321,0.8411086,0.1009632],"study_design_scores_gemma":[0.000511518,0.0004526702,0.5091457,0.00007159963,0.0001737451,0.00000404698,0.001774053,0.001333379,0.00009825584,0.002782926,0.4833456,0.0003064618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7564399,0.0007998138,0.002980899,0.2329725,0.001336401,0.0006091699,0.0003756063,0.0003168306,0.004168887],"genre_scores_gemma":[0.9750863,0.00003241962,0.0007876972,0.01023509,0.002664771,0.00005467444,0.0001821997,0.00003333266,0.01092347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4916983,"threshold_uncertainty_score":0.9993526,"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."}}