{"id":"W2048382874","doi":"10.1007/s00330-004-2341-1","title":"Renal artery aneurysms: diagnosis and surveillance with 3D contrast-enhanced magnetic resonance angiography","year":2004,"lang":"en","type":"article","venue":"European Radiology","topic":"Abdominal vascular conditions and treatments","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Medicine; Renal hilum; Radiology; Renal artery; Renal artery stenosis; Magnetic resonance angiography; Neuroradiology; Aneurysm; Interventional radiology; Stenosis; Angiography; Magnetic resonance imaging; Kidney; Nephrectomy; Internal medicine; Neurology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001385459,0.0007057757,0.0008206196,0.002782629,0.0006880196,0.0008016534,0.0008692319,0.002436035,0.001111468],"category_scores_gemma":[0.006634158,0.0005690066,0.0006166488,0.00124896,0.0009968997,0.001819362,0.000548572,0.001208275,0.0004931432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003693145,"about_ca_system_score_gemma":0.0006078871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002366218,"about_ca_topic_score_gemma":0.002023786,"domain_scores_codex":[0.9992992,0.0001983293,0.0001074511,0.0001150309,0.0001651539,0.0001148753],"domain_scores_gemma":[0.9986576,0.0005983251,0.0001755011,0.0001660007,0.000213486,0.000189084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002931571,0.0005802548,0.7466472,0.0001887666,0.0001364159,0.1445112,0.0004718351,0.001415065,0.02093292,0.0003404239,0.0013671,0.0804773],"study_design_scores_gemma":[0.0002516494,0.001800182,0.4618132,0.0001134687,0.0004381818,0.5003653,0.0007900703,0.01124954,0.0187977,0.001220941,0.003045274,0.0001144075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710578,0.00793722,0.009814684,0.00145012,0.00008189159,0.0001428524,0.0003538734,0.0001747347,0.008986963],"genre_scores_gemma":[0.9894928,0.002691647,0.006578894,0.0002842162,0.0003176275,0.00002949666,0.0001696757,0.00002309281,0.0004125797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002782629,"threshold_uncertainty_score":0.007327139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007226263880663557,"score_gpt":0.2067994363397715,"score_spread":0.1995731724591079,"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."}}