{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002751279,0.0001918625,0.0003539447,0.0000453451,0.0000661354,0.00002775178,0.00008402014,0.00005914022,0.0001677828],"category_scores_gemma":[0.0001840076,0.0001521819,0.0001241393,0.0002739099,0.0002849123,0.0001353038,0.00003950475,0.0002787324,0.00001643084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000831332,"about_ca_system_score_gemma":0.0003457345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006182724,"about_ca_topic_score_gemma":0.0001021622,"domain_scores_codex":[0.9982463,0.0000451199,0.0002058761,0.000378476,0.0007883189,0.0003358936],"domain_scores_gemma":[0.9991446,0.00006745163,0.00003472415,0.0002920297,0.0000602678,0.0004009213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003432597,0.001934255,0.9302208,0.0004606786,0.0003502364,0.0002989644,0.00125502,0.00006680027,0.0006521593,0.0003087385,0.0003323428,0.06377675],"study_design_scores_gemma":[0.01744216,0.0002477619,0.9740272,0.0008770254,0.0003709733,0.0001936607,0.0005448652,0.0004384931,0.002630136,0.002072921,0.0006526575,0.0005022061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929044,0.0002857362,0.004536796,0.0006603756,0.00007012026,0.0003575742,0.000008223372,0.00005760215,0.001119209],"genre_scores_gemma":[0.9981535,0.0001024844,0.0002069112,0.00109518,0.0003302726,0.00002240115,0.00004677039,0.00002540739,0.00001706932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06327454,"threshold_uncertainty_score":0.6205796,"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."}}