{"id":"W4407517618","doi":"10.3138/jvme-2024-0102","title":"Integrating Climate Change into Competency-Based Veterinary Education","year":2025,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"One Health; Curriculum; Climate change; Veterinary medicine; Veterinary education; Animal health; Biosecurity; Position statement; Medicine; Medical education; Political science; Environmental resource management; Public health; Nursing; Environmental science; Pathology; Family medicine; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01563944,0.0003819267,0.0003282671,0.002247419,0.001758059,0.004641518,0.002037365,0.003139867,0.003203084],"category_scores_gemma":[0.02324797,0.0002437508,0.000605198,0.0008911327,0.002980867,0.004319841,0.01011212,0.004432323,0.0007186195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006115743,"about_ca_system_score_gemma":0.03249847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007625196,"about_ca_topic_score_gemma":0.01658597,"domain_scores_codex":[0.9927636,0.003868766,0.0003587262,0.0003794075,0.001681686,0.0009478785],"domain_scores_gemma":[0.9842114,0.008118686,0.001144247,0.0006217094,0.002625098,0.003278845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001958501,0.0009495921,0.005932993,0.003533661,0.00004402032,0.0004728538,0.01645838,0.003199924,0.001779802,0.1172103,0.02644591,0.823953],"study_design_scores_gemma":[0.00005572198,0.000482861,0.01991379,0.02166199,0.00005942359,0.001025323,0.02119814,0.004338581,0.003028959,0.2842841,0.6438068,0.0001443622],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.07378028,0.05446793,0.2332515,0.3878847,0.00524569,0.002565605,0.0002699161,0.0007815831,0.2417527],"genre_scores_gemma":[0.6427061,0.03136672,0.2839651,0.02824598,0.001332128,0.001455779,0.0002908034,0.00008290403,0.01055452],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01563944,"threshold_uncertainty_score":0.08271027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09178483779892416,"score_gpt":0.4225300383928535,"score_spread":0.3307452005939294,"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."}}