{"id":"W2148805806","doi":"10.1109/cic.1990.144265","title":"A robust optical flow assessment of the epicardial contractility in cineangiography","year":2002,"lang":"en","type":"article","venue":"","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Optical flow; Cineangiography; Percutaneous transluminal coronary angioplasty; Contractility; Motion (physics); Computer vision; Artificial intelligence; Computer science; Cardiology; Medicine; Internal medicine; Angioplasty; Image (mathematics)","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":[0.0008014617,0.0004795621,0.0003406777,0.001033475,0.0001385845,0.0006450963,0.0004312239,0.0006383926,0.001091133],"category_scores_gemma":[0.002491981,0.0002610658,0.0002979823,0.0003127052,0.0003685134,0.0007448905,0.0004289082,0.0003615833,0.0003048324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002062377,"about_ca_system_score_gemma":0.0003052345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008329112,"about_ca_topic_score_gemma":0.0009278795,"domain_scores_codex":[0.9996971,0.000107032,0.00001216356,0.0000492172,0.0001122734,0.00002228261],"domain_scores_gemma":[0.9995847,0.0001824996,0.00005776815,0.00004760688,0.0001027245,0.0000247083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002706403,0.00009334659,0.002225249,0.0002204371,0.00006654151,0.000199575,0.0000835343,0.03625883,0.2536622,0.006310433,0.002882107,0.6977271],"study_design_scores_gemma":[0.00006765103,0.0003903923,0.0107215,0.00006618279,0.00008034863,0.001409905,0.00003048006,0.8778155,0.09495819,0.003946818,0.01037909,0.0001339211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02349758,0.0006537978,0.9744706,0.0001131818,0.00005587093,0.00005558012,0.00006915943,0.0004118189,0.0006724432],"genre_scores_gemma":[0.2241361,0.000919439,0.7725641,0.00009785309,0.0001899819,0.000107485,0.0001392793,0.0001379897,0.001707871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001091133,"threshold_uncertainty_score":0.004238546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04220639698335511,"score_gpt":0.2952078387690156,"score_spread":0.2530014417856605,"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."}}