{"id":"W1525438428","doi":"10.1007/3-540-45468-3_145","title":"A Pulsating Coronary Vessel Phantom for Two- and Three-Dimensional Intravascular Ultrasound Studies","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Robarts Clinical Trials","funders":"","keywords":"Intravascular ultrasound; Imaging phantom; Coronary arteries; Artery; Segmentation; Computer science; Biomedical engineering; Radiology; Medicine; Artificial intelligence; Cardiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001145604,0.0006747838,0.0004718877,0.0009916041,0.0002847521,0.0007009435,0.001050368,0.001287892,0.009289949],"category_scores_gemma":[0.001548299,0.0009141898,0.0003515492,0.0006811883,0.0004669422,0.001049204,0.000831264,0.001111426,0.002481843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002257719,"about_ca_system_score_gemma":0.000404039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001417772,"about_ca_topic_score_gemma":0.0002487399,"domain_scores_codex":[0.9998016,0.00005274515,0.00001072607,0.00002812855,0.00009260701,0.00001421565],"domain_scores_gemma":[0.9990045,0.0006721738,0.00003384954,0.0001204348,0.00010528,0.00006371361],"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":[0.0003450635,0.0002102638,0.0002673219,0.0005376423,0.00002296531,0.001018027,0.0002061028,0.00654693,0.7491351,0.01661378,0.009788441,0.2153084],"study_design_scores_gemma":[0.00024061,0.001916568,0.002836959,0.0004288887,0.0002216058,0.02500544,0.0001245756,0.08965481,0.5800228,0.020758,0.2785461,0.000243639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01270411,0.004992844,0.9659374,0.0005898259,0.000397705,0.0003147068,0.0003347775,0.001735938,0.01299276],"genre_scores_gemma":[0.07380957,0.004965674,0.8932174,0.000497501,0.0001368243,0.0005856178,0.0008236605,0.0008494457,0.02511444],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009289949,"threshold_uncertainty_score":0.03107798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0324442274632331,"score_gpt":0.3111370256379528,"score_spread":0.2786927981747196,"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."}}