{"id":"W2543642849","doi":"10.1016/j.jacc.2016.09.904","title":"TCT-76 Temporal change of in-stent thrombus immediately after percutaneous coronary intervention within 5 minutes using optical coherence tomography","year":2016,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Medicine; Optical coherence tomography; Percutaneous coronary intervention; Thrombus; Stent; Cardiology; Radiology; Percutaneous; Internal medicine; Myocardial infarction","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":[0.0001901577,0.0001845055,0.0002396112,0.0006349228,0.0002387725,0.0006273991,0.0001516498,0.000722015,0.001127822],"category_scores_gemma":[0.0008143857,0.0001645334,0.0001706619,0.0004094494,0.0001848542,0.0003354394,0.0001641743,0.0007279193,0.000250552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000339382,"about_ca_system_score_gemma":0.0003460319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003254856,"about_ca_topic_score_gemma":0.006515276,"domain_scores_codex":[0.9998745,0.00001520464,0.00000744929,0.00001974484,0.00003948593,0.00004373462],"domain_scores_gemma":[0.9996713,0.0001031942,0.0000694136,0.00001986881,0.00007039511,0.00006582027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02104674,0.0009052432,0.2648034,0.0004423089,0.0002823093,0.01328107,0.000788437,0.001461039,0.5893248,0.001385863,0.006691617,0.09958722],"study_design_scores_gemma":[0.0001603283,0.00169653,0.8618844,0.00007967524,0.000294724,0.007197392,0.0004586213,0.008602165,0.1140452,0.0004235583,0.005057468,0.0000998454],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898419,0.002592316,0.002417391,0.0002835404,0.0001384261,0.00005303685,0.0005134415,0.00007563073,0.004084338],"genre_scores_gemma":[0.9963596,0.0006991273,0.001432945,0.0001562502,0.0000992902,0.00003895929,0.0002783568,0.00001264857,0.0009227746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003254856,"threshold_uncertainty_score":0.006471813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03000374809477155,"score_gpt":0.2877498940435848,"score_spread":0.2577461459488132,"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."}}