{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006245769,0.0001000175,0.0003914589,0.0006675495,0.0003765896,0.00001232205,0.000453465,0.00002513755,0.0003474301],"category_scores_gemma":[0.0007777443,0.00007246655,0.0001023008,0.001535987,0.001336855,0.00008075152,0.0002040583,0.001173559,0.000006367039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002895262,"about_ca_system_score_gemma":0.000615365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000944221,"about_ca_topic_score_gemma":0.000007291144,"domain_scores_codex":[0.9957814,0.001257672,0.001125364,0.0001702317,0.001236742,0.0004286141],"domain_scores_gemma":[0.997353,0.001140975,0.0004057343,0.0003180524,0.0006088841,0.0001733211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.008552286,0.0004838534,0.001468152,0.00005556697,0.00004728937,0.001011383,0.004488086,0.0002894008,0.0514927,0.0004502354,0.0005102811,0.9311508],"study_design_scores_gemma":[0.0003577823,0.3362635,0.02889543,0.0008759629,0.00009837831,0.02102822,0.5373661,0.006042513,0.009114725,0.01873084,0.0407121,0.000514409],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884587,0.0008233159,0.0002888629,0.009410967,0.0005942667,0.0002236665,0.000002530374,0.000003863836,0.0001938636],"genre_scores_gemma":[0.9981986,0.0007528457,0.000405857,0.00009693043,0.0004401798,0.00002251539,0.000002295843,0.00001622981,0.00006455549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9306363,"threshold_uncertainty_score":0.5098596,"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."}}