{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006193207,0.0001928986,0.0005825931,0.0005122116,0.00004822922,0.000002319146,0.0001018674,0.00007047662,0.0001561346],"category_scores_gemma":[0.001207781,0.0001595212,0.0001337554,0.0007763403,0.0008369083,0.00005357808,0.00004261984,0.0001381161,0.00001282755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009408102,"about_ca_system_score_gemma":0.0001032952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000520543,"about_ca_topic_score_gemma":0.000004164918,"domain_scores_codex":[0.9983194,0.00005762999,0.0005294001,0.0002999062,0.0004747304,0.0003188954],"domain_scores_gemma":[0.9988228,0.0003242143,0.000125368,0.0004272829,0.0001241543,0.0001761847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001941756,0.0001156931,0.9345831,0.00008760033,0.0001592794,0.0001710252,0.0004671634,7.088523e-7,0.0279315,0.00001594886,0.03052791,0.005745938],"study_design_scores_gemma":[0.004629846,0.0001279798,0.9867826,0.001098137,0.0001440562,0.000320319,0.0006032679,0.000184662,0.003023752,0.0000340192,0.002893023,0.0001583137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514499,0.01123461,0.0005588137,0.005630129,0.0009330921,0.0004941029,0.00001296818,0.0001210042,0.02956534],"genre_scores_gemma":[0.9963353,0.0008165295,0.001769487,0.0007453659,0.0001787368,0.00001242058,0.00002255437,0.00003157181,0.00008805569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05219956,"threshold_uncertainty_score":0.6505085,"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."}}