{"id":"W4410955096","doi":"10.1016/j.atherosclerosis.2025.120391","title":"Non-invasive imaging of individual histological carotid plaque characteristics: A diagnostic accuracy meta-analysis","year":2025,"lang":"en","type":"review","venue":"Atherosclerosis","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Agentura Pro Zdravotnický Výzkum České Republiky; Faculté de Biologie et de Médecine, Université de Lausanne; Ostravská Univerzita v Ostravě; Université de Lausanne","keywords":"Medicine; Radiology; Magnetic resonance imaging; Diagnostic accuracy; Asymptomatic; Meta-analysis; Cochrane Library; Nuclear medicine; Pathology","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":["metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003955866,0.0008814422,0.008484391,0.0007336534,0.0001154665,0.00007620281,0.0006127775,0.0003307304,0.001207295],"category_scores_gemma":[0.002107677,0.0006347977,0.01210957,0.001238734,0.0002416665,0.00009187146,0.0003269546,0.00050724,0.00006664734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001558983,"about_ca_system_score_gemma":0.0008306021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008540116,"about_ca_topic_score_gemma":0.0000143212,"domain_scores_codex":[0.9959713,0.0003379171,0.001466738,0.0009908036,0.0007352103,0.0004980095],"domain_scores_gemma":[0.993637,0.003488931,0.0009840064,0.001360942,0.0002393376,0.0002898359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00001872926,0.001603865,0.03904144,0.05670866,0.732753,0.00004387178,0.0004564905,0.000002104258,0.000009038082,0.00007496846,0.002939075,0.1663488],"study_design_scores_gemma":[0.0004362627,0.00008785497,0.01644085,0.003642798,0.9454964,0.00002253114,0.00005550154,0.000001219015,0.00001751482,0.000004249575,0.03325186,0.0005429992],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003359736,0.9946391,0.0001084633,0.00008217447,0.0001546746,0.002070511,0.002224542,0.00008429504,0.0003002629],"genre_scores_gemma":[0.01491854,0.9812151,0.0001267754,0.0004333508,0.0001191753,0.001063439,0.001829986,0.00007089736,0.0002227241],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2127434,"threshold_uncertainty_score":0.9997057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06945528521450667,"score_gpt":0.3232972332912124,"score_spread":0.2538419480767057,"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."}}