{"id":"W7115238349","doi":"","title":"Computed tomographic features of canine intramural ureteral stenosis in three dogs.","year":2023,"lang":"en","type":"article","venue":"Edinburgh Research Explorer","topic":"Veterinary Medicine and Surgery","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydroureter; Ureter; Stenosis; Urinary system; Computed tomographic; Upper urinary tract; Genitourinary system; Computed tomography","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":[0.0003265995,0.0003396074,0.0003123453,0.002125013,0.0003953198,0.0004742864,0.0003842194,0.0007072105,0.001087593],"category_scores_gemma":[0.0009827993,0.0004776872,0.0003032679,0.0007149122,0.0006162358,0.0003463257,0.0005074721,0.000387149,0.0002140193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006550577,"about_ca_system_score_gemma":0.0003918768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005144097,"about_ca_topic_score_gemma":0.009480177,"domain_scores_codex":[0.9996798,0.00002352067,0.00004139037,0.00008001122,0.00008858207,0.00008677113],"domain_scores_gemma":[0.9994736,0.00007445498,0.0001932195,0.00003864582,0.00006502866,0.0001550107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003556845,0.0001457575,0.7937213,0.0001033949,0.00004843154,0.1786614,0.0005727674,0.0002794887,0.0197251,0.000128334,0.0003600838,0.005898378],"study_design_scores_gemma":[0.00001822302,0.0003593184,0.7379894,0.0000228517,0.00005070689,0.2575997,0.0003162765,0.0008580855,0.001735083,0.00004145923,0.0009909081,0.00001809466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979778,0.0003761881,0.0002823821,0.00004011555,0.000006402421,0.00003656633,0.0001934654,0.00001922444,0.001067881],"genre_scores_gemma":[0.9991341,0.00009642349,0.0004216323,0.00003078434,0.000007794471,0.000006218296,0.0001824203,0.000002395127,0.0001183145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005144097,"threshold_uncertainty_score":0.01022828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2491184120288084,"score_gpt":0.4163840155395352,"score_spread":0.1672656035107268,"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."}}