{"id":"W4396657140","doi":"10.17582/journal.aavs/2024/12.6.1143.1147","title":"A Pilot Study Using Remote Digital Necropsy Images to Diagnose Gross Lesions in Swedish Cattle","year":2024,"lang":"en","type":"article","venue":"Advances in Animal and Veterinary Sciences","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Telus (Canada)","funders":"","keywords":"Computer graphics (images); Geography; Computer vision; Computer science; Medicine; Medical physics; Artificial intelligence","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":[0.0004324626,0.0001487457,0.0001730058,0.00005814669,0.0002413052,0.0003481936,0.0002950212,0.00001669861,0.0000551071],"category_scores_gemma":[0.0001152673,0.0000682736,0.00002544758,0.0009299596,0.0002820865,0.00132303,0.0002842699,0.0001212232,0.000009563082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002346342,"about_ca_system_score_gemma":0.00001374891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001308749,"about_ca_topic_score_gemma":0.003567975,"domain_scores_codex":[0.9985896,0.00007676372,0.0002458796,0.0005513204,0.0002033409,0.0003330757],"domain_scores_gemma":[0.9994714,0.0003532945,0.00002516211,0.00004431736,0.00001284329,0.00009297967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004314004,0.001054795,0.1101497,0.00009784033,0.000006562564,0.001509917,0.002021653,0.0002123506,0.1101325,0.0009216538,0.0001098681,0.7733518],"study_design_scores_gemma":[0.0004706458,0.04419915,0.8951493,0.001098142,0.00001061943,0.0004992925,0.01466534,0.002048998,0.0002688542,0.005967765,0.03452114,0.001100742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949446,0.003205524,0.00001014072,0.0004345222,0.0002965837,0.0002604798,0.00005397635,0.00004589172,0.0007483298],"genre_scores_gemma":[0.998933,0.0004679079,0.000336704,0.00008428244,0.0000991974,0.00001052533,0.000002745108,0.000001068854,0.00006462918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7849997,"threshold_uncertainty_score":0.3357638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09444787900677547,"score_gpt":0.3564677304792676,"score_spread":0.2620198514724921,"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."}}