{"id":"W2114494799","doi":"10.1186/1751-0147-54-24","title":"Magnetic resonance and computed tomography imaging of a carotid body tumor in a dog","year":2012,"lang":"en","type":"article","venue":"Acta veterinaria Scandinavica","topic":"Adrenal and Paraganglionic Tumors","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Magnetic resonance imaging; Carotid body; Medicine; Histopathology; Computed tomography; Computed tomographic; Labrador Retriever; Radiology; Nuclear medicine; Pathology; Carotid arteries; Surgery","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":[],"consensus_categories":[],"category_scores_codex":[0.0001798206,0.0001631042,0.0003488443,0.0002108511,0.00003911188,0.00001033612,0.00008418038,0.00003514362,0.0000772947],"category_scores_gemma":[0.00002915918,0.0001417414,0.00006205531,0.0004026928,0.0001403599,0.0001151624,0.00008937377,0.0001658241,0.000003725512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002982988,"about_ca_system_score_gemma":0.00003009893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002417835,"about_ca_topic_score_gemma":0.000003906035,"domain_scores_codex":[0.9989169,0.00005014394,0.0002786487,0.0002113147,0.0001619003,0.0003811474],"domain_scores_gemma":[0.9994118,0.0000600782,0.00008058981,0.0002303257,0.00003420018,0.0001830269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004350964,0.0002449966,0.986711,0.0001768703,0.00001273754,0.0006659188,0.0008425938,1.503793e-7,0.008946422,0.0002488613,0.0002659117,0.001449485],"study_design_scores_gemma":[0.001688717,0.0005421423,0.9888266,0.00040704,0.00004049554,0.005449026,0.0001014746,0.0001663277,0.0006480984,0.00004276559,0.001933323,0.000154029],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944365,0.003639193,0.00001043892,0.0003025997,0.0001191923,0.0002908811,0.00001069073,0.00003011607,0.001160382],"genre_scores_gemma":[0.9988568,0.00001481729,0.0007685782,0.0001644288,0.00008635742,0.00002159619,0.000008230129,0.00001787785,0.00006129446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008298324,"threshold_uncertainty_score":0.5780046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168915908579075,"score_gpt":0.2631194281600103,"score_spread":0.2514302690742195,"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."}}