{"id":"W4378675248","doi":"10.1016/j.carrev.2023.05.020","title":"Intracoronary imaging in PCI for acute coronary syndrome: Insights from British Cardiovascular Intervention Society registry","year":2023,"lang":"en","type":"article","venue":"Cardiovascular revascularization medicine","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre","funders":"National Institute for Health and Care Research","keywords":"Medicine; Conventional PCI; Percutaneous coronary intervention; Acute coronary syndrome; Internal medicine; Cardiology; Odds ratio; Logistic regression; 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":[0.001009899,0.0001786116,0.000537438,0.001591105,0.0002280129,0.0007009529,0.0004580008,0.0003426202,0.00218606],"category_scores_gemma":[0.005669303,0.0002431181,0.0003087867,0.003471021,0.0001855903,0.0004309527,0.0008040771,0.0005807337,0.0007146908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006020932,"about_ca_system_score_gemma":0.0008358287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03521387,"about_ca_topic_score_gemma":0.05454954,"domain_scores_codex":[0.9984435,0.0003977285,0.0002790311,0.0001691078,0.0005317107,0.000178938],"domain_scores_gemma":[0.9937521,0.000854818,0.003404431,0.0003004654,0.001151395,0.0005368729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001356215,0.00002644652,0.9863518,0.0001627486,0.00005921833,0.0001822325,0.000115445,0.00007812423,0.0001424533,0.00005569715,0.005868352,0.006821763],"study_design_scores_gemma":[0.00001673921,0.00001758697,0.9974326,0.00005827056,0.00002525832,0.0003553539,0.00005893933,0.000112151,0.00002401747,0.00003314516,0.00186095,0.000004891429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9302894,0.0057203,0.0006367633,0.002016555,0.00007298039,0.000145409,0.05125459,0.00007207315,0.009791796],"genre_scores_gemma":[0.9497745,0.004975021,0.0009100984,0.0004478516,0.0001214223,0.0002041385,0.04243046,0.0000355662,0.001100975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03521387,"threshold_uncertainty_score":0.07001776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01431612397284109,"score_gpt":0.271186233161233,"score_spread":0.2568701091883919,"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."}}