{"id":"W2104127193","doi":"10.2217/17520363.2.6.555","title":"Imaging Biomarkers of Atherosclerosis","year":2008,"lang":"en","type":"article","venue":"Biomarkers in Medicine","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Medicine; Disease; Fibrous cap; Radiology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001973292,0.001400135,0.001345392,0.005450412,0.0005411599,0.002834332,0.0009486367,0.002735647,0.004368278],"category_scores_gemma":[0.004062209,0.0004189051,0.0006771455,0.003624056,0.000805012,0.001636403,0.001007009,0.001904598,0.003039401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005986186,"about_ca_system_score_gemma":0.0005614356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005566754,"about_ca_topic_score_gemma":0.0006396625,"domain_scores_codex":[0.9980887,0.0005546943,0.0001316557,0.0003523731,0.0006869251,0.0001856622],"domain_scores_gemma":[0.9986839,0.0003613464,0.0003488434,0.00009809378,0.0004025494,0.0001053807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001232242,0.0006392861,0.04585663,0.005059232,0.0008549561,0.002043388,0.0005237553,0.00153654,0.2506773,0.02176603,0.0421335,0.6276772],"study_design_scores_gemma":[0.0003008219,0.002312075,0.1012205,0.003225043,0.001849565,0.03032237,0.0008231247,0.006950804,0.2523573,0.03413517,0.5660873,0.0004159242],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09663168,0.6814784,0.1373138,0.007744981,0.003975517,0.0006622055,0.004132218,0.001902997,0.0661582],"genre_scores_gemma":[0.4872243,0.2840035,0.1717627,0.008325394,0.006081248,0.001238771,0.004399485,0.0002476153,0.03671695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005450412,"threshold_uncertainty_score":0.01461333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02748639389609758,"score_gpt":0.2881614233220742,"score_spread":0.2606750294259766,"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."}}