{"id":"W4319333913","doi":"10.1308/rcsann.2022.0126","title":"Role of four-dimensional computer tomography (4D-CT) in non-localising and discordant first-line imaging in primary hyperparathyroidism","year":2023,"lang":"en","type":"article","venue":"Annals of The Royal College of Surgeons of England","topic":"Parathyroid Disorders and Treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"CancerCare Manitoba","funders":"","keywords":"Medicine; Primary hyperparathyroidism; Radiology; Quadrant (abdomen); Parathyroid neoplasm; Tomography; Prospective cohort study; Parathyroid adenoma; Nuclear medicine; Surgery","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":[0.0004234209,0.0001655844,0.0006498689,0.0004308325,0.00004212085,0.0000028009,0.000110269,0.00003111016,0.000002419323],"category_scores_gemma":[0.00005039705,0.0001205579,0.0001797478,0.0006472943,0.0002140303,0.00005345947,0.0001566446,0.0001063695,3.439131e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008611324,"about_ca_system_score_gemma":0.0000831214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001221237,"about_ca_topic_score_gemma":0.0004127578,"domain_scores_codex":[0.9986315,0.00005904214,0.0005755437,0.0002058246,0.0002890623,0.0002390279],"domain_scores_gemma":[0.9990547,0.0002869118,0.000221334,0.0002663097,0.0001072796,0.0000635146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008118983,0.0008308986,0.9882193,0.0001237041,0.0001242416,0.0001351365,0.0002715791,0.00439597,0.002457247,0.00005587682,0.001757528,0.000816573],"study_design_scores_gemma":[0.005203071,0.00024748,0.9713969,0.0004378922,0.00004908185,0.00001971614,0.0001347413,0.01516178,0.006614269,0.0004780034,0.000135375,0.0001216433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950358,0.00341654,0.000005170755,0.0006189767,0.00005359615,0.0003244175,0.0002244064,0.000005793406,0.0003153538],"genre_scores_gemma":[0.9994414,0.0002480581,0.0001664084,0.00004731725,0.00001208367,0.000007716538,0.0000215548,0.00001425546,0.00004121573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0168224,"threshold_uncertainty_score":0.491621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01788490733011927,"score_gpt":0.2549869633278701,"score_spread":0.2371020559977509,"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."}}