{"id":"W4408596322","doi":"10.2460/javma.25.01.0027","title":"American College of Veterinary Radiology and European College of Veterinary Diagnostic Imaging position statement on artificial intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of the American Veterinary Medical Association","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Transparency (behavior); Medicine; Position statement; Certification; Position paper; Veterinary education; Curriculum; Medical education; Veterinary medicine; Psychology; Pathology; Computer science; Political science; Family medicine","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":[0.02171842,0.001179239,0.001352892,0.00437401,0.003821587,0.01313499,0.004615374,0.01909101,0.04470281],"category_scores_gemma":[0.06633293,0.001077538,0.001571497,0.002840761,0.006595512,0.005030459,0.005896754,0.01845045,0.03989023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005581132,"about_ca_system_score_gemma":0.03361341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01197808,"about_ca_topic_score_gemma":0.0148234,"domain_scores_codex":[0.9712098,0.005536047,0.002652211,0.002662665,0.01532051,0.002618751],"domain_scores_gemma":[0.8972829,0.0228749,0.006045124,0.005719474,0.05526101,0.01281662],"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":[0.00005080165,0.0000437733,0.0006046799,0.0004221716,0.00002163543,0.0002260373,0.0001468717,0.0002020167,0.0006577866,0.02164758,0.8741518,0.1018249],"study_design_scores_gemma":[0.00001183244,0.00001919166,0.0005857853,0.0005352872,0.000008133935,0.0003428683,0.00005532864,0.0001042533,0.0001430705,0.004978341,0.9931927,0.00002324067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001285704,0.04178241,0.01896873,0.5288188,0.08426031,0.0008558024,0.001240021,0.000961175,0.321827],"genre_scores_gemma":[0.03721008,0.1096012,0.05630564,0.3182893,0.06824964,0.002449661,0.006980087,0.001295923,0.3996186],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04470281,"threshold_uncertainty_score":0.1495457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06951400150519683,"score_gpt":0.4061489406226785,"score_spread":0.3366349391174817,"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."}}