{"id":"W2525954789","doi":"10.1002/etc.3557","title":"One health—Transdisciplinary opportunities for SETAC leadership in integrating and improving the health of people, animals, and the environment","year":2016,"lang":"en","type":"review","venue":"Environmental Toxicology and Chemistry","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"U.S. Geological Survey; Society of Environmental Toxicology and Chemistry; University of Washington","keywords":"Constructive; Human health; Ecosystem health; One Health; Government (linguistics); Public relations; Political science; Public health; Environmental health; Ecosystem; Medicine; Computer science; Ecology; Ecosystem services; Nursing; Process (computing)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.03772002,0.0009730528,0.0004706891,0.002175024,0.02155414,0.01670566,0.002992,0.009798096,0.01552443],"category_scores_gemma":[0.01491676,0.000757674,0.001081015,0.001198624,0.02210401,0.01271002,0.04325728,0.02057949,0.003180947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007243406,"about_ca_system_score_gemma":0.0453253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003823318,"about_ca_topic_score_gemma":0.009320645,"domain_scores_codex":[0.9712038,0.01732916,0.00066777,0.001898801,0.004006036,0.004894413],"domain_scores_gemma":[0.9341673,0.01188913,0.002371899,0.002586578,0.007422289,0.04156293],"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":[0.0001805379,0.000868177,0.007781405,0.0009956396,0.00006738367,0.001129831,0.1025021,0.0006245938,0.005343851,0.2548732,0.4202435,0.2053899],"study_design_scores_gemma":[0.00003099558,0.0002889421,0.002544896,0.0006835262,0.00001230491,0.0005215765,0.03859372,0.0004236304,0.0007205132,0.05399802,0.9021103,0.00007154104],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.01917302,0.01204959,0.02414441,0.8169433,0.0161953,0.0002833061,0.00008894489,0.0004688048,0.1106533],"genre_scores_gemma":[0.4397013,0.01507831,0.05357068,0.3810354,0.01512639,0.0005975014,0.0002889692,0.0005334497,0.09406801],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03772002,"threshold_uncertainty_score":0.1994849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.129984148420692,"score_gpt":0.3206016189824105,"score_spread":0.1906174705617185,"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."}}