{"id":"W4386137933","doi":"10.1017/one.2023.2","title":"A reimagined One Health framework for wildlife conservation","year":2023,"lang":"en","type":"article","venue":"Research Directions One Health","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Wildlife; Framing (construction); Health equity; Equity (law); Geography; One Health; Public relations; Environmental planning; Environmental resource management; Business; Psychology; Political science; Sociology; Ecology; Public health; Medicine; Nursing; Biology; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007603588,0.0001684115,0.0006250481,0.001055797,0.001416126,0.00008097461,0.0001456686,0.0001327215,0.0002350513],"category_scores_gemma":[0.004728394,0.0001761998,0.000144859,0.003668511,0.0001617559,0.0001516632,0.00006571854,0.0008984568,0.0002770725],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112117,"about_ca_system_score_gemma":0.009949383,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009235147,"about_ca_topic_score_gemma":0.0004030588,"domain_scores_codex":[0.995164,0.0006966099,0.0007358467,0.0006034676,0.001163059,0.001637017],"domain_scores_gemma":[0.9948563,0.001595115,0.0001661293,0.0007441672,0.0008461848,0.001792111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007492527,0.002390187,0.004129638,0.005545154,0.0002242339,0.000007002908,0.001139593,0.00001267154,0.00001857489,0.2077356,0.5523521,0.225696],"study_design_scores_gemma":[0.002565063,0.003394586,0.1918322,0.00215518,0.00002666307,0.00001853484,0.001896484,0.006253866,0.000009816486,0.02387155,0.7677073,0.0002686388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007654504,0.001925122,0.01624131,0.9658184,0.0004767855,0.004702745,0.0002443064,0.0009143579,0.002022437],"genre_scores_gemma":[0.5875119,0.07107463,0.1269068,0.1659358,0.007070806,0.006954913,0.004437782,0.0005891208,0.02951816],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7998826,"threshold_uncertainty_score":0.9998839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3426986211933083,"score_gpt":0.5283105226214598,"score_spread":0.1856119014281515,"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."}}