{"id":"W3195398961","doi":"10.1093/biosci/biab080","title":"Data Proliferation, Reconciliation, and Synthesis in Viral Ecology","year":2021,"lang":"en","type":"article","venue":"BioScience","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Saskatchewan; University of Toronto","funders":"Medical Research Council; Institut de Valorisation des Données; National Science Foundation","keywords":"Human virome; Host (biology); Ecology; Macroecology; Biology; Evolutionary ecology; Evolutionary biology; Data science; Computer science; Metagenomics; Biodiversity; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004152118,0.00003607993,0.0000907942,0.00003916868,0.00004444339,0.00002381715,0.00007448547,0.00002873556,0.0001383109],"category_scores_gemma":[0.002279673,0.00003118605,0.000005724416,0.0002017287,0.00005886076,0.0001530151,0.00006392755,0.00003819593,0.000008432752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002880851,"about_ca_system_score_gemma":0.0009369999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002751455,"about_ca_topic_score_gemma":0.0001989801,"domain_scores_codex":[0.9993412,0.00004184499,0.000131407,0.0002565794,0.00009906911,0.0001298718],"domain_scores_gemma":[0.9994498,0.00007673928,0.00002309873,0.0002782294,0.00006046894,0.0001116506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003572116,0.0004595057,0.8936237,0.0001647236,0.000006776866,0.00009023183,0.0002505181,0.000001622108,0.001475542,0.009764944,0.004826186,0.0893006],"study_design_scores_gemma":[0.0003530393,0.00005123643,0.9737019,0.00003395441,0.00001051429,0.00004857767,0.0001905647,0.005209966,0.0003360956,0.0003118037,0.01969096,0.00006136568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745612,0.0001944192,0.0001271457,0.02172961,0.0001671338,0.0001539714,0.00004979004,0.00001592626,0.00300087],"genre_scores_gemma":[0.9956707,0.00009353516,0.001312891,0.0025838,0.00005171121,0.000007609075,0.00002498962,0.000002077296,0.0002526678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08923924,"threshold_uncertainty_score":0.2729147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06094718376356837,"score_gpt":0.335883815097838,"score_spread":0.2749366313342696,"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."}}