{"id":"W4411090594","doi":"10.1016/j.rvsc.2025.105752","title":"Breed predispositions and malignancy analysis for canine tumors: A multicenter histopathological retrospective study from Central Italy","year":2025,"lang":"en","type":"article","venue":"Research in Veterinary Science","topic":"Veterinary Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministero dell'Università e della Ricerca","keywords":"Malignancy; Breed; Medicine; Labrador Retriever; Retrospective cohort study; Pathology; Multicenter study; Internal medicine; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004637919,0.0003251865,0.0003965066,0.00162804,0.0006695339,0.0006403555,0.0003025124,0.0004040662,0.002064184],"category_scores_gemma":[0.0008398647,0.0004457543,0.0004387911,0.001231151,0.0005516986,0.0003790164,0.0006022634,0.0003107005,0.0003564841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005475631,"about_ca_system_score_gemma":0.0004884988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003631673,"about_ca_topic_score_gemma":0.005824599,"domain_scores_codex":[0.9995837,0.0000680494,0.00002837912,0.0001560081,0.00004978112,0.0001141639],"domain_scores_gemma":[0.9992177,0.0000955284,0.0003057539,0.0001284699,0.00009341574,0.0001590458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001400916,0.00005541271,0.9974577,0.000007181029,0.00003105773,0.000290433,0.0001750459,0.00002167898,0.000762689,0.00001662377,0.0001094582,0.0009325667],"study_design_scores_gemma":[0.000006390707,0.0001037744,0.9980745,0.000004568592,0.00003311917,0.0009347926,0.0004002335,0.00004841003,0.00006629993,0.00001400058,0.0003103984,0.000003408627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994767,0.00009812223,0.00004822121,0.000009038836,0.000002066865,0.000006578947,0.0001253933,0.000002035394,0.0002318496],"genre_scores_gemma":[0.9993501,0.00006303855,0.00005658537,0.00001908654,0.000009631082,0.000008692656,0.0003669042,0.000004570898,0.0001212694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003631673,"threshold_uncertainty_score":0.007221103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1207787184108586,"score_gpt":0.4636921202691925,"score_spread":0.3429134018583339,"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."}}