{"id":"W3118643358","doi":"10.2991/artres.k.201209.062","title":"P.50 Radial Artery Phenotyping in Fibromuscular Dysplasia Through Ultra-High Frequency Ultrasound: A Radiomic Approach","year":2020,"lang":"en","type":"article","venue":"Artery Research","topic":"Renal and Vascular Pathologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Fibromuscular dysplasia; Radiology; Ultrasound; Internal medicine; Renal artery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007788115,0.0005413502,0.0002456167,0.0015353,0.0001800684,0.0005067709,0.0002531346,0.000483636,0.002182931],"category_scores_gemma":[0.00153012,0.0001442072,0.0002012688,0.0003852724,0.00042965,0.0002635821,0.0003264616,0.0002128159,0.0008575738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104923,"about_ca_system_score_gemma":0.0001258081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004913037,"about_ca_topic_score_gemma":0.0004261908,"domain_scores_codex":[0.9996912,0.0001365995,0.00002587556,0.00006696316,0.0000543063,0.00002500241],"domain_scores_gemma":[0.9994463,0.000227996,0.0001477668,0.00005668075,0.00007417994,0.00004705254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00126918,0.0001438737,0.8891346,0.0001110917,0.00006037963,0.00122674,0.0001249929,0.0007610346,0.04337827,0.0002067512,0.0004248475,0.0631583],"study_design_scores_gemma":[0.00002725315,0.000853289,0.9730297,0.00004840552,0.00009269937,0.00820149,0.0002566399,0.008138632,0.007905007,0.000500062,0.0009307311,0.00001606075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852555,0.001533167,0.01005987,0.0001816858,0.0000280929,0.00005010805,0.0002758201,0.0001112718,0.002504428],"genre_scores_gemma":[0.9956346,0.0001556045,0.00370852,0.00003406837,0.00003173734,0.00002197618,0.00007849766,0.000005392316,0.0003295537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002182931,"threshold_uncertainty_score":0.007302642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08712789398697672,"score_gpt":0.3279440512716487,"score_spread":0.2408161572846719,"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."}}