{"id":"W2151599006","doi":"10.1161/strokeaha.114.005163","title":"Volume of Carotid Artery Ulceration as a Predictor of Cardiovascular Events","year":2014,"lang":"en","type":"article","venue":"Stroke","topic":"Pressure Ulcer Prevention and Management","field":"Health Professions","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Cardiology; Myocardial infarction; Internal medicine; Stroke (engine); Revascularization; Infarction; Radiology","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":[],"consensus_categories":[],"category_scores_codex":[0.0008982808,0.00008382997,0.0002879012,0.00008669146,0.00008723819,0.000001470555,0.0001321378,0.00008263457,0.0005572077],"category_scores_gemma":[0.0001224677,0.00007965352,0.0002190078,0.0000620821,0.0000240497,0.00007426608,0.00009511739,0.0001353377,0.0001213473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002664462,"about_ca_system_score_gemma":0.00005603222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002534281,"about_ca_topic_score_gemma":0.0000328821,"domain_scores_codex":[0.9983531,0.0005265512,0.0004261782,0.0001597719,0.0003495123,0.0001849288],"domain_scores_gemma":[0.9991164,0.00004562878,0.0001978904,0.0004468239,0.0001337789,0.00005953709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005737704,0.001020654,0.723785,0.01015603,0.01019734,0.000005748539,0.01417304,0.002989394,0.01939187,0.05367879,0.1169462,0.0470821],"study_design_scores_gemma":[0.004073215,0.0003650733,0.3557341,0.0004103033,0.0006572756,8.795897e-7,0.0008043839,0.001085805,0.001703693,0.002069537,0.6328413,0.0002544018],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7054437,0.0004201206,0.1125031,0.000736871,0.003425157,0.003928372,0.0001996403,0.0002005661,0.1731424],"genre_scores_gemma":[0.9841917,0.00002386024,0.0003081424,0.00009123316,0.0002011667,0.00008304146,0.00002125988,0.00001167596,0.01506799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5158951,"threshold_uncertainty_score":0.6101034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989727415001857,"score_gpt":0.3147751676452935,"score_spread":0.2948778934952749,"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."}}