{"id":"W1965402070","doi":"10.1118/1.3171692","title":"Multimodality vascular imaging phantoms: A new material for the fabrication of realistic 3D vessel geometries","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute; Université de Montréal","funders":"Canadian Institutes of Health Research; Bracco Diagnostics","keywords":"Imaging phantom; Digital subtraction angiography; Materials science; Biomedical engineering; Angiography; Magnetic resonance angiography; Fiducial marker; Magnetic resonance imaging; Radiology; 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":[0.000218055,0.00009080675,0.0001856189,0.0000251918,0.00004020625,0.000007055265,0.0002255279,0.0000867322,0.0000550783],"category_scores_gemma":[0.0006729886,0.0000654961,0.00006386909,0.0002134553,0.0001487731,0.00004910231,0.00001822472,0.0001378838,0.000003423762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002265061,"about_ca_system_score_gemma":0.00004307871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005608257,"about_ca_topic_score_gemma":8.672785e-7,"domain_scores_codex":[0.9992148,0.000008584972,0.0002005358,0.0001061431,0.000283675,0.0001862305],"domain_scores_gemma":[0.9994475,0.0001761681,0.00003453157,0.0002092703,0.00004141268,0.00009107109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001142991,0.00004854322,0.00002883602,0.00007400563,0.00004426381,0.000001532297,0.0001128716,0.0001087482,0.0004596238,0.004201422,0.006402773,0.988506],"study_design_scores_gemma":[0.004096459,0.0002163023,0.007034184,0.0003075018,0.0004579332,0.0000105281,0.0001858313,0.4626748,0.09505183,0.1988182,0.2303909,0.0007555301],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009408427,0.0008255199,0.9873705,0.001388946,0.0003699696,0.0001979954,0.00001742723,0.0002128053,0.0002084147],"genre_scores_gemma":[0.9981748,0.0003527009,0.0006541723,0.0002184246,0.0005363684,0.0000133192,0.00003019713,0.00001020006,0.000009785795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9887664,"threshold_uncertainty_score":0.2670853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009940232549123084,"score_gpt":0.2531320171065636,"score_spread":0.2431917845574405,"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."}}