{"id":"W4220654314","doi":"10.2460/ajvr.22.03.0038","title":"The unmet potential of artificial intelligence in veterinary medicine","year":2022,"lang":"en","type":"article","venue":"American Journal of Veterinary Research","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Pace; Veterinary medicine; Human medicine; Medicine; Traditional 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":[0.0103468,0.0006138406,0.0008345859,0.001787764,0.001136064,0.007230768,0.001612443,0.005596163,0.008181361],"category_scores_gemma":[0.01862963,0.0003402984,0.0006712663,0.001382032,0.006902047,0.009580243,0.003471518,0.005441458,0.002452426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001846764,"about_ca_system_score_gemma":0.003796895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00124751,"about_ca_topic_score_gemma":0.00159643,"domain_scores_codex":[0.9930703,0.004040788,0.0003336161,0.0004429884,0.001818933,0.0002932869],"domain_scores_gemma":[0.9628933,0.0287282,0.001178871,0.001338261,0.003686055,0.002175421],"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":[0.0002204441,0.0001736538,0.006265132,0.003663743,0.0001718083,0.0003692674,0.001273859,0.0072161,0.00207767,0.2831511,0.06430137,0.6311159],"study_design_scores_gemma":[0.00003744569,0.0002575084,0.00467861,0.004486091,0.00006189143,0.001088012,0.00249544,0.01032392,0.0006999123,0.622925,0.3528118,0.0001342279],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01143622,0.333239,0.03856369,0.5413812,0.00397522,0.00005403969,0.00025015,0.0002638705,0.07083653],"genre_scores_gemma":[0.4156493,0.3921221,0.0944954,0.07205188,0.01445459,0.000232474,0.0004215645,0.000174275,0.01039831],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0103468,"threshold_uncertainty_score":0.05471975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3826061740332917,"score_gpt":0.5454270006936306,"score_spread":0.1628208266603389,"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."}}