{"id":"W2158485753","doi":"10.24908/pceea.v0i0.3985","title":"AN ATHEROSCLEROTIC CORONARY ARTERY PHANTOM FOR PARTICLE IMAGE VELOCIMETRY","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Heart Institute","funders":"","keywords":"Imaging phantom; Particle image velocimetry; Coronary arteries; Particle tracking velocimetry; Myocardial infarction; Biomedical engineering; Velocimetry; Artery; Cardiology; Medicine; Physics; Radiology; Mechanics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001226328,0.0005379771,0.0002884628,0.0006550271,0.0003115614,0.0004779614,0.0004465141,0.0009114045,0.002386324],"category_scores_gemma":[0.001514086,0.0003826751,0.0002981247,0.0003709292,0.0002931567,0.0003428008,0.0004733026,0.0005839059,0.000507006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000268935,"about_ca_system_score_gemma":0.0007426621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004858067,"about_ca_topic_score_gemma":0.00044134,"domain_scores_codex":[0.9997136,0.00007439172,0.00001944039,0.00004968244,0.0001159141,0.00002696117],"domain_scores_gemma":[0.9994288,0.0002694438,0.00005476949,0.00009740151,0.0000996236,0.00004993054],"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":[0.0003380725,0.000292928,0.0006738607,0.0001676139,0.00001437545,0.0004858392,0.0001270825,0.007584429,0.9571252,0.005605711,0.002307778,0.02527713],"study_design_scores_gemma":[0.0002823902,0.002111584,0.005117187,0.000137606,0.00009190242,0.003006497,0.00007263614,0.1100031,0.808713,0.002582451,0.06774827,0.0001335676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1513508,0.001931751,0.8317828,0.0007910269,0.0006610443,0.001778612,0.001132466,0.002413731,0.008157715],"genre_scores_gemma":[0.3468918,0.001681925,0.6410231,0.0005464739,0.00009023937,0.002481889,0.001197975,0.0003104734,0.005776125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002386324,"threshold_uncertainty_score":0.007983088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01730201630750586,"score_gpt":0.245746628847741,"score_spread":0.2284446125402351,"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."}}