{"id":"W2409618566","doi":"10.7326/acpjc-2007-147-3-077","title":"Review: Contrast-enhanced MRA is more sensitive and specific than CT angiography or ultrasonography for detection of lower-limb PAD","year":2007,"lang":"en","type":"article","venue":"ACP Journal Club","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Duplex ultrasonography; Radiology; Ultrasonography; Angiography; Arterial disease; Magnetic resonance angiography; Magnetic resonance imaging; Computed tomography angiography; Lower limb; Nuclear medicine; Vascular disease; 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":[0.0003994188,0.0001587209,0.0003679557,0.0002200013,0.0001491763,0.00001118673,0.00005626717,0.00005500182,0.00001526796],"category_scores_gemma":[0.00004405808,0.000117946,0.0004059614,0.0005069146,0.0001301962,0.00009967941,0.00001044488,0.0002454491,7.258859e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002414406,"about_ca_system_score_gemma":0.00001783189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003743856,"about_ca_topic_score_gemma":0.000007286924,"domain_scores_codex":[0.9989533,0.00001510202,0.0004252467,0.0002011611,0.0001545288,0.0002505978],"domain_scores_gemma":[0.9987831,0.0001773314,0.0003181501,0.0001913601,0.0003576242,0.0001724098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003009787,0.0003282831,0.000674668,0.000467523,0.0002427345,0.0000728567,0.0002922924,0.000001217356,0.7423682,0.0001276594,0.008190887,0.2442239],"study_design_scores_gemma":[0.002038656,0.002996862,0.01494826,0.002394862,0.0004765286,0.002156372,0.0008552997,0.00001322671,0.8108558,0.0009745425,0.1619722,0.0003173719],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1838582,0.017952,0.7950962,0.001319426,0.0001021381,0.001347771,0.0000505757,0.00006204667,0.0002115711],"genre_scores_gemma":[0.9141762,0.05890841,0.02523613,0.001331248,0.0002358039,0.00002932173,0.000008409721,0.00002606381,0.00004846742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7698601,"threshold_uncertainty_score":0.48097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916088000426156,"score_gpt":0.3322177670701219,"score_spread":0.3130568870658603,"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."}}