{"id":"W3103395583","doi":"10.1101/2020.05.22.111344","title":"Optimizing predictive models to prioritize viral discovery in zoonotic reservoirs","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Viral Infections and Vectors","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université de Montréal","funders":"Institut de Valorisation des Données; Vlaamse regering; Fonds Wetenschappelijk Onderzoek; Wellcome Trust; National Science Foundation","keywords":"Host (biology); Computer science; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004638646,0.00139775,0.001161614,0.001309682,0.0005510521,0.001542414,0.0017078,0.001041425,0.001530529],"category_scores_gemma":[0.01336216,0.0006896816,0.00112662,0.0006317123,0.0006213193,0.001559412,0.0009087464,0.002173843,0.0004307771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150272,"about_ca_system_score_gemma":0.001841465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0145224,"about_ca_topic_score_gemma":0.01366552,"domain_scores_codex":[0.9991466,0.0004240292,0.00004783982,0.0002064215,0.00008709508,0.00008806343],"domain_scores_gemma":[0.9912917,0.006888721,0.0005157563,0.0003485422,0.000705743,0.0002495426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008946209,0.00007113668,0.01596419,0.00006258638,0.0001111866,0.00004256728,0.00003607597,0.9690039,0.0005985949,0.0007981742,0.0008353294,0.01238689],"study_design_scores_gemma":[0.0000070837,0.00002729876,0.0005161623,0.00001094265,0.00001875554,0.000008007341,0.000008817926,0.9978866,0.0002014089,0.001152745,0.0001574179,0.000004757885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7306598,0.002685614,0.2548305,0.002892877,0.0002172664,0.0002029699,0.001899435,0.003165911,0.003445553],"genre_scores_gemma":[0.9634769,0.0003700071,0.03358867,0.0003837063,0.00006325942,0.00008562477,0.001327868,0.0000915824,0.0006124444],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0145224,"threshold_uncertainty_score":0.02887577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03179665096273403,"score_gpt":0.2541684972931359,"score_spread":0.2223718463304019,"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."}}