{"id":"W2081473527","doi":"10.1007/s00330-010-1855-y","title":"Multidetector computed tomography with triple-bolus contrast medium administration protocol for preoperative anatomical and functional assessment of potential living renal donors","year":2010,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal and Vascular Pathologies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Calgary","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Radiology; Ultrasound; Contrast medium; Computed tomography; Bolus (digestion); Multidetector computed tomography; Protocol (science); Nuclear medicine; Neurology; Surgery; Pathology","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":[0.0004433717,0.0001509254,0.0003268644,0.0001053305,0.00007915244,0.00001438926,0.00005565309,0.00006939187,0.00003608388],"category_scores_gemma":[0.0001289964,0.0001004637,0.00009067114,0.00007366776,0.000322489,0.0000488933,0.00003175415,0.0002624997,6.535369e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009639706,"about_ca_system_score_gemma":0.0001295447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002875264,"about_ca_topic_score_gemma":0.00001486411,"domain_scores_codex":[0.9988438,0.0002657977,0.0002989701,0.0003012386,0.0001175723,0.0001726398],"domain_scores_gemma":[0.9993002,0.0001526163,0.0001417789,0.0001401904,0.0001678427,0.00009735864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005375357,0.0006648644,0.1788816,0.0002997706,0.0006481098,0.0002271732,0.0003017193,0.0001143841,0.8081915,0.0007216388,0.0009115986,0.003662331],"study_design_scores_gemma":[0.005719315,0.003332482,0.9776662,0.00006659786,0.00008144291,0.001041714,0.00004467796,0.003239945,0.008209402,0.000006764182,0.0004670875,0.0001243729],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382073,0.00000654804,0.03523621,0.000175571,0.0001554527,0.02587908,0.00002212448,0.00005184176,0.0002659168],"genre_scores_gemma":[0.9798167,8.121635e-7,0.01413185,0.000051896,0.0003361595,0.005559496,0.00004319208,0.00001827292,0.00004163657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7999821,"threshold_uncertainty_score":0.4096792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675378136824284,"score_gpt":0.2917562604464189,"score_spread":0.2750024790781761,"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."}}