{"id":"W4388408634","doi":"10.1016/j.vaa.2023.09.026","title":"Machine learning models for prediction of Feline Grimace Scale© scores","year":2023,"lang":"en","type":"article","venue":"Veterinary Anaesthesia and Analgesia","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Scale (ratio); Machine learning; Artificial intelligence; Computer science; Cartography","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":[0.002396043,0.0009560816,0.0008800291,0.0009194994,0.0003622477,0.0009287264,0.00101961,0.001272654,0.002359367],"category_scores_gemma":[0.00565795,0.0002954649,0.0008984224,0.0006009627,0.000282532,0.000524104,0.0005144094,0.001947203,0.0009874339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008194263,"about_ca_system_score_gemma":0.0007133445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01411205,"about_ca_topic_score_gemma":0.009136211,"domain_scores_codex":[0.9995473,0.0001647715,0.0000368779,0.0001297003,0.00004716814,0.00007425284],"domain_scores_gemma":[0.9949066,0.004011628,0.0002525916,0.000126703,0.0005886853,0.0001137045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008552415,0.0008135956,0.04559296,0.0001148402,0.000289084,0.0001308446,0.00008231483,0.73927,0.001358046,0.0008396425,0.00563264,0.2050208],"study_design_scores_gemma":[0.000007415155,0.00004639031,0.003137033,0.00001147342,0.0000120151,0.000009784132,0.000009381138,0.9960819,0.0001671661,0.0004091849,0.0001019803,0.000006288511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8165302,0.003556726,0.1698688,0.001638365,0.0003942252,0.0001675622,0.002978323,0.001550024,0.003315716],"genre_scores_gemma":[0.9845234,0.0002393888,0.01097808,0.00009422901,0.0000632497,0.00008621364,0.001754734,0.00002337817,0.00223732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01411205,"threshold_uncertainty_score":0.02805984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09774809306124092,"score_gpt":0.3156628537681158,"score_spread":0.2179147607068749,"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."}}