{"id":"W2009176238","doi":"10.1118/1.1739300","title":"A multimodality vascular imaging phantom with fiducial markers visible in DSA, CTA, MRA, and ultrasound","year":2004,"lang":"en","type":"article","venue":"Medical Physics","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Imaging phantom; Fiducial marker; Digital subtraction angiography; Magnetic resonance angiography; Magnetic resonance imaging; Biomedical engineering; Medical imaging; Ultrasound; Nuclear medicine; Angiography; Radiology; Materials science; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001042065,0.0005460271,0.0003323976,0.000660699,0.0002064743,0.0004666808,0.0006614947,0.0006499048,0.001252679],"category_scores_gemma":[0.001881609,0.0003709078,0.000201694,0.0004159017,0.0004036758,0.0004034063,0.0003827467,0.0003032656,0.0004051356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000224217,"about_ca_system_score_gemma":0.0007949868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002554754,"about_ca_topic_score_gemma":0.0002671726,"domain_scores_codex":[0.9996974,0.0001071294,0.00002567107,0.00005984079,0.0000875254,0.00002255934],"domain_scores_gemma":[0.9992157,0.0003656903,0.0001105856,0.0001228915,0.0001340599,0.0000511733],"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":[0.0002083291,0.0001330354,0.0009064017,0.0003500197,0.00001279442,0.0003503929,0.0001146637,0.01229338,0.9536893,0.004157439,0.0006635099,0.02712078],"study_design_scores_gemma":[0.0001201128,0.003141928,0.006660549,0.0001526538,0.0002182646,0.008722036,0.00009487732,0.09764017,0.8243118,0.002798597,0.05596311,0.0001759761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1024528,0.00119063,0.8914284,0.0002359489,0.0001104138,0.0003322827,0.0003378709,0.001383786,0.002527944],"genre_scores_gemma":[0.4297275,0.0007996403,0.5651774,0.0001970222,0.00003834139,0.0006566577,0.0004873486,0.0001606018,0.002755592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001252679,"threshold_uncertainty_score":0.005511045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004994389867686719,"score_gpt":0.238189118364925,"score_spread":0.2331947284972383,"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."}}