{"id":"W3200461290","doi":"10.1098/rstb.2020.0358","title":"The future of zoonotic risk prediction","year":2021,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Research Manitoba; Public Health Ontario; University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; Directorate for Biological Sciences; University of Toronto; Wellcome Trust","keywords":"Pandemic; One Health; Global health; Coronavirus disease 2019 (COVID-19); Globe; Data science; Infectious disease (medical specialty); Environmental planning; Biology; Risk analysis (engineering); Computer science; Disease; Business; Geography; Political science; Public health; Health care; Medicine","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":[0.000783087,0.00009512977,0.0002190721,0.000007625112,0.0007568397,0.0000159615,0.0002695213,0.0001459905,0.0002569356],"category_scores_gemma":[0.000201133,0.00003994702,0.0005988738,0.0005573425,0.001488162,0.00003104382,0.00002547092,0.0003489305,0.000001731236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000279323,"about_ca_system_score_gemma":0.0002811419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003856574,"about_ca_topic_score_gemma":0.000003287373,"domain_scores_codex":[0.9985867,0.000198962,0.000348371,0.0002359394,0.0004003742,0.0002296257],"domain_scores_gemma":[0.9989074,0.0004171378,0.0001344323,0.0002546677,0.0001438953,0.0001424427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009142364,0.007298003,0.3027944,0.0008262852,0.001718776,0.000007552992,0.001492124,0.01012057,0.001991824,0.2083923,0.002372201,0.4620717],"study_design_scores_gemma":[0.002399979,0.003373389,0.6352038,0.0002865853,0.0008993818,0.00004859862,0.006148578,0.04737469,0.001943177,0.2826284,0.01925249,0.000440987],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8065794,0.004867757,0.007241732,0.1729307,0.001363184,0.0005960782,0.0002674108,0.00007553225,0.006078208],"genre_scores_gemma":[0.997124,0.001351263,0.0007244557,0.0004117104,0.0002979744,0.000008472337,0.000002586897,0.000002778273,0.00007680327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4616308,"threshold_uncertainty_score":0.5821075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03467155765617777,"score_gpt":0.2870491838137551,"score_spread":0.2523776261575773,"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."}}