{"id":"W2338974633","doi":"10.1007/s10157-012-0682-7","title":"Angiographic characteristics of coronary arterial segments progressing to myocardial infarction in patients with and without chronic kidney disease","year":2012,"lang":"en","type":"article","venue":"Clinical and Experimental Nephrology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Medicine; Internal medicine; Cardiology; Kidney disease; Myocardial infarction; Odds ratio; Stenosis; Nephrology; Logistic regression; Ostium","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":[0.000351349,0.0002719658,0.0005021553,0.001171654,0.0004154704,0.0005291888,0.0002904877,0.0006571546,0.002152589],"category_scores_gemma":[0.001837132,0.0002446003,0.0004633614,0.001012017,0.0004079962,0.0005537281,0.000410662,0.0005881635,0.0002309115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002703315,"about_ca_system_score_gemma":0.0002419768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001845096,"about_ca_topic_score_gemma":0.001968693,"domain_scores_codex":[0.9997606,0.00004431682,0.00003587352,0.00005381876,0.00003007768,0.00007536892],"domain_scores_gemma":[0.9987901,0.0003472967,0.000357008,0.00005364242,0.00006808382,0.000383906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001075311,0.00008557656,0.9969104,0.000008563048,0.00004257395,0.0003597825,0.0001107429,0.00004283415,0.000613064,0.0000412883,0.00003546033,0.0006745062],"study_design_scores_gemma":[0.00001237929,0.0001541751,0.9990655,0.000001606262,0.00002402662,0.0003990466,0.000141545,0.00009367618,0.00004030788,0.00002647598,0.00003820424,0.000003197981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993579,0.00008729072,0.00003022094,0.00001414872,0.00000321895,0.000003948328,0.0001123038,0.000001398637,0.0003897246],"genre_scores_gemma":[0.9995193,0.00005704106,0.00002934162,0.00001590529,0.00001590417,0.000005566916,0.0002506126,0.000001353279,0.0001049221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002152589,"threshold_uncertainty_score":0.007201135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01295545153633597,"score_gpt":0.3107883234778498,"score_spread":0.2978328719415139,"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."}}