{"id":"W2150418354","doi":"10.1109/ultsym.2004.1417793","title":"ECG-triggered retrospective colour flow imaging","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Transducer; Imaging phantom; Clutter; Pulsatile flow; Flow (mathematics); Acoustics; Flow velocity; Blood flow; Flow measurement; Iterative reconstruction; Computer science; Physics; Computer vision; Optics; Medicine; Radiology; Radar; Telecommunications","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":[0.0008348277,0.0005023879,0.0004082347,0.0006121857,0.0001286396,0.0004565824,0.0005636388,0.0006891103,0.001737142],"category_scores_gemma":[0.002352051,0.0003232882,0.0001816466,0.0003743189,0.0003135474,0.0004717289,0.0002552146,0.0007511883,0.0006632709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002134141,"about_ca_system_score_gemma":0.0003235478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003753785,"about_ca_topic_score_gemma":0.0004956847,"domain_scores_codex":[0.9997099,0.00007309054,0.00001657365,0.0000807232,0.00008777977,0.00003183353],"domain_scores_gemma":[0.9989486,0.0003498603,0.0001867649,0.0002212011,0.0002166132,0.0000770021],"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":[0.0004785895,0.00004605263,0.001172078,0.000171379,0.00001641091,0.0001916503,0.00004694652,0.000404101,0.9525554,0.0005621499,0.0009251299,0.04343005],"study_design_scores_gemma":[0.00008840085,0.001024069,0.01391885,0.00003359256,0.00007502483,0.002738573,0.00002161694,0.01445321,0.9568336,0.0004030598,0.0103505,0.00005947224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2329359,0.003193036,0.7532528,0.000370316,0.0003182516,0.000600729,0.0008968844,0.003429933,0.005002114],"genre_scores_gemma":[0.566611,0.002873376,0.4225759,0.000450018,0.0002415241,0.0005969017,0.0008575522,0.0003784865,0.005415316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001737142,"threshold_uncertainty_score":0.005811334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008575468927317106,"score_gpt":0.3092980493547186,"score_spread":0.3007225804274015,"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."}}