{"id":"W4224110118","doi":"10.3389/fpubh.2022.861594","title":"A Rapid Literature Review of Multi-Criteria Decision Support Methods in the Context of One Health for All-Hazards Threat Prioritization","year":2022,"lang":"en","type":"review","venue":"Frontiers in Public Health","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Prince Edward Island; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Public Health Agency of Canada","funders":"Health Canada; Public Health Agency of Canada","keywords":"Prioritization; Context (archaeology); Computer science; Risk analysis (engineering); Decision support system; Data science; Management science; Medicine; Data mining; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.03147438,0.00198375,0.005350057,0.04293468,0.001795243,0.006210079,0.003255761,0.005765394,0.01063871],"category_scores_gemma":[0.1251546,0.001357125,0.00649803,0.03250172,0.001750592,0.008055379,0.003413687,0.003837185,0.001955329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01178322,"about_ca_system_score_gemma":0.03263933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006061746,"about_ca_topic_score_gemma":0.01972403,"domain_scores_codex":[0.9705604,0.01255015,0.008894666,0.001338503,0.006195438,0.0004608082],"domain_scores_gemma":[0.8112035,0.1446805,0.01215405,0.002980414,0.02763506,0.00134646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008673846,0.00007073515,0.0003428826,0.6270507,0.0008772397,0.0003987801,0.0008716452,0.0007749568,0.0005278108,0.005424314,0.02360855,0.3399657],"study_design_scores_gemma":[0.0000527003,0.0001250314,0.0009820933,0.8480319,0.00161808,0.0003391066,0.0006386289,0.000411642,0.0002280637,0.00289685,0.1446166,0.00005938968],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005509484,0.9862216,0.002958602,0.004686714,0.001200602,0.001069931,0.0005642255,0.00004476917,0.002702659],"genre_scores_gemma":[0.008115478,0.9621028,0.02067557,0.004393661,0.0007939369,0.002659126,0.0005909273,0.00003827739,0.0006302202],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04293468,"threshold_uncertainty_score":0.1664544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1668410007884972,"score_gpt":0.4894780595999527,"score_spread":0.3226370588114554,"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."}}