{"id":"W4387230700","doi":"10.3390/v15102031","title":"The International Virus Bioinformatics Meeting 2023","year":2023,"lang":"en","type":"article","venue":"Viruses","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Lunar and Planetary Institute; Agencia Estatal de Investigación; Fundação para a Ciência e a Tecnologia; Bundesministerium für Gesundheit; Japan Society for the Promotion of Science; Seqirus; Biotechnology and Biological Sciences Research Council; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Medical Research Council; Russian Science Foundation; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; National Science Foundation","keywords":"Metagenomics; Pandemic; Event (particle physics); Virus; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Data science; Biology; Bioinformatics; Computational biology; Medicine; Computer science; Infectious disease (medical specialty); Genetics","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":["insufficient_payload"],"category_scores_codex":[0.0001324034,0.00005137433,0.00003372756,0.00001843239,0.0002585471,0.0001110925,0.0002335692,0.00001856751,0.001469243],"category_scores_gemma":[0.00005583331,0.00003515815,0.00003069624,0.0001616419,0.00006322439,0.0002349976,0.000235668,0.00006030136,0.01489022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004149026,"about_ca_system_score_gemma":0.000003323328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005011752,"about_ca_topic_score_gemma":0.0005638447,"domain_scores_codex":[0.99955,0.00000817979,0.0001265519,0.00006973534,0.0001046213,0.0001408424],"domain_scores_gemma":[0.999729,0.00008462507,0.00004477891,0.0001114939,0.000003936445,0.00002620359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008133014,0.00001372098,0.000832241,0.000001318116,0.00001790153,0.000003336746,0.0002392049,0.0002365525,0.6910685,0.00007621708,0.2732581,0.03424481],"study_design_scores_gemma":[0.00004646126,0.000006941856,0.01307014,0.000005958464,0.000002770053,0.000003653303,0.0001946943,0.001151318,0.01826737,0.00005459319,0.9671379,0.00005814455],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9004182,0.00002859335,0.00005519694,0.00152617,0.002118332,0.0001201452,0.00006345429,0.0002032882,0.09546658],"genre_scores_gemma":[0.9394858,0.003178265,0.002421022,0.00817698,0.0007293472,0.00008873169,0.00006911597,0.00006620937,0.04578452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6938798,"threshold_uncertainty_score":0.9994435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02397294982202839,"score_gpt":0.2719525775945033,"score_spread":0.2479796277724749,"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."}}