{"id":"W2020383091","doi":"10.2174/1568006043336302","title":"Image-based Computational Fluid Dynamics: A New Paradigm for Monitoring Hemodynamics and Atherosclerosis","year":2004,"lang":"en","type":"review","venue":"Current Drug Targets - Cardiovascular & Hematological Disorders","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Hemodynamics; Dynamics (music); Computer science; Cardiology; Computational fluid dynamics; Medicine; Internal medicine; Physics; Mechanics; Acoustics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0007429691,0.001121138,0.004663321,0.0003453093,0.0003435986,0.0001193594,0.0002862019,0.0005331871,0.00001664073],"category_scores_gemma":[0.0003414814,0.0009690237,0.01000049,0.0004687664,0.0002613693,0.0001377066,0.0001456944,0.000719674,0.00003112564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007570968,"about_ca_system_score_gemma":0.001456299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004482319,"about_ca_topic_score_gemma":0.000004641121,"domain_scores_codex":[0.9948196,0.0003602558,0.001232096,0.00157911,0.00103554,0.0009733628],"domain_scores_gemma":[0.9971709,0.0003032355,0.0003358311,0.00100206,0.0001576832,0.00103035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001091345,0.0005443398,0.00014762,0.1018363,0.003746697,0.00002302281,0.00003311163,0.001060457,6.763158e-8,0.0007725128,0.0002205859,0.8915062],"study_design_scores_gemma":[0.01849386,0.0002029256,0.001047918,0.05279313,0.03742947,0.0004594623,0.00009933323,0.01739105,8.313949e-7,0.01397303,0.8547929,0.003316128],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001098298,0.8062394,0.1878179,0.0001419398,0.0007150045,0.004488974,0.00023303,0.0002309563,0.00002288809],"genre_scores_gemma":[0.0007477541,0.9830593,0.01100595,0.00002676888,0.0003370653,0.00109025,0.003551869,0.0001722959,0.000008729735],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.88819,"threshold_uncertainty_score":0.9999141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03602511104642866,"score_gpt":0.328512196193569,"score_spread":0.2924870851471404,"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."}}