{"id":"W3200734625","doi":"10.22190/fume201211051b","title":"NUMERICAL INVESTIGATION OF THE INFLUENCE OF THE LINK POSITIONING IN THE CORONARY STENT INSIDE THE NORMAL ARTERY: A COMPARATIVE STUDY OF TWO COMMERCIAL STENT DESIGNS","year":2023,"lang":"en","type":"article","venue":"Facta Universitatis Series Mechanical Engineering","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stent; von Mises yield criterion; Displacement (psychology); Stress (linguistics); Materials science; Workbench; Artery; Structural engineering; Biomedical engineering; Mechanics; Engineering; Cardiology; Surgery; Physics; Medicine; Mechanical engineering; Finite element method","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003549852,0.0002998661,0.0003994468,0.0004449861,0.000222675,0.0005847789,0.0004146184,0.0006984653,0.001276896],"category_scores_gemma":[0.00141811,0.0002006637,0.0003589682,0.0003489224,0.000424066,0.0002923565,0.0002915204,0.00017515,0.0001592687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002732492,"about_ca_system_score_gemma":0.0002495952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001700997,"about_ca_topic_score_gemma":0.001604119,"domain_scores_codex":[0.999798,0.00004082701,0.00001903792,0.00003078353,0.000076706,0.00003455416],"domain_scores_gemma":[0.9991365,0.0004594224,0.0001355177,0.00009875157,0.0001365457,0.00003335379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001159345,0.0004073881,0.02591316,0.000559519,0.00009532023,0.001546567,0.0004516879,0.7661747,0.1645712,0.002909198,0.0008159655,0.03539599],"study_design_scores_gemma":[0.00003739561,0.0008531497,0.009129057,0.0000298286,0.00006286952,0.0004026246,0.0002175571,0.9639357,0.02376962,0.0003713024,0.001154867,0.00003596732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868584,0.0002341852,0.009611276,0.00006340563,0.0000243091,0.00002091558,0.0001284293,0.000102098,0.002956928],"genre_scores_gemma":[0.994509,0.0001073441,0.00480809,0.000008369857,0.000004071059,0.0000105192,0.00005525265,0.00001291958,0.0004843864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001700997,"threshold_uncertainty_score":0.004271686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03781976769532462,"score_gpt":0.2653683966501594,"score_spread":0.2275486289548347,"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."}}