{"id":"W2979139126","doi":"10.1177/0003319719878582","title":"Carotid Intima–Media Thickness Versus Carotid Plaque Burden for Predicting Cardiovascular Risk","year":2019,"lang":"en","type":"letter","venue":"Angiology","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Medicine; Intima-media thickness; Cardiology; Internal medicine; Carotid arteries","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":[0.002072565,0.0005402268,0.001753131,0.001156482,0.001413904,0.002180608,0.0006561658,0.01127681,0.005376282],"category_scores_gemma":[0.01746722,0.0004699581,0.0006706761,0.0008154254,0.0009071269,0.001128526,0.0004751264,0.008324332,0.004289672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732546,"about_ca_system_score_gemma":0.001577654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004209531,"about_ca_topic_score_gemma":0.008615397,"domain_scores_codex":[0.9986382,0.0005192507,0.0002272889,0.0001501517,0.0002792948,0.000185793],"domain_scores_gemma":[0.9942826,0.003641465,0.0002204524,0.0001895696,0.000906711,0.0007591857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.004584011,0.0006983029,0.1727556,0.0003929996,0.0003544386,0.01434747,0.0004613014,0.0006039341,0.001762781,0.004010364,0.6694646,0.1305642],"study_design_scores_gemma":[0.006121064,0.003239847,0.2828635,0.003486109,0.001997768,0.07109165,0.002904747,0.02501511,0.002880209,0.07627931,0.5235868,0.0005339693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03638588,0.008090109,0.0003851172,0.900759,0.02764536,0.0000567259,0.0004269956,0.00006417676,0.02618661],"genre_scores_gemma":[0.3454254,0.006999932,0.002331177,0.420331,0.2018043,0.0002191339,0.0004337818,0.00007734416,0.02237799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01127681,"threshold_uncertainty_score":0.01798546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02307870168842618,"score_gpt":0.2730397773541758,"score_spread":0.2499610756657496,"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."}}