{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002658779,0.0002703927,0.0005792045,0.002085251,0.0001350857,0.00004588122,0.0005663757,0.0001896722,0.001062241],"category_scores_gemma":[0.0004342992,0.00022592,0.0001875965,0.00366224,0.0003971849,0.0002979184,0.0005142649,0.001049843,0.00005027261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008379156,"about_ca_system_score_gemma":0.0001170653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001265203,"about_ca_topic_score_gemma":0.0001129555,"domain_scores_codex":[0.9959363,0.0003508191,0.0005940964,0.000553329,0.001388649,0.001176836],"domain_scores_gemma":[0.9978614,0.0008479989,0.00007173438,0.0006327222,0.0003215115,0.0002646459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003960031,0.0006251139,0.2908961,0.0003550667,0.0003463373,0.02019655,0.01417677,0.0001277904,0.04937335,0.0004823234,0.5991706,0.02028993],"study_design_scores_gemma":[0.00210512,0.003721125,0.9786705,0.0006570453,0.00001709532,0.0003397793,0.00319632,0.003023033,0.0004384636,0.003133049,0.004136938,0.0005615363],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99475,0.0003432981,0.00001388165,0.002079159,0.0008748994,0.0004800504,0.00002454701,0.000197184,0.001237045],"genre_scores_gemma":[0.9982896,0.0001738054,0.0001119627,0.00007413245,0.0007319262,0.0002013105,0.00009342856,0.0000489658,0.0002748503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6877744,"threshold_uncertainty_score":0.9998509,"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."}}