{"id":"W1998594560","doi":"10.1016/j.jcct.2013.01.008","title":"Relationship of low- and high-density lipoproteins to coronary artery plaque composition by CT angiography","year":2013,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Ottawa","funders":"","keywords":"Medicine; Odds ratio; Internal medicine; Coronary artery disease; Cardiology; Cholesterol; High-density lipoprotein; Computed tomographic angiography; Prospective cohort study; Statin; Angiography","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":[0.0004779254,0.0002065316,0.0008476031,0.0009210395,0.00008090978,0.00004641286,0.00009380068,0.00007625375,0.000005374753],"category_scores_gemma":[0.00005815164,0.0001901446,0.002182808,0.0008442701,0.0001266889,0.0001866465,0.00004897853,0.0003382124,0.000004668736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002549626,"about_ca_system_score_gemma":0.00004241178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001329655,"about_ca_topic_score_gemma":5.375861e-7,"domain_scores_codex":[0.9981468,0.000178766,0.0005620628,0.0002128938,0.0006847568,0.0002147367],"domain_scores_gemma":[0.9980996,0.0002193155,0.0002219806,0.0004068959,0.0007024453,0.0003497822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004467151,0.0008189344,0.9134574,0.0005820669,0.0152831,0.001021689,0.000303813,0.003299585,0.0040865,0.000127016,0.0342777,0.02629551],"study_design_scores_gemma":[0.002845358,0.0004868401,0.987227,0.0005563,0.001635677,0.002957578,0.00003984384,0.00008518729,0.002984056,0.0002614454,0.0007185948,0.0002020733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9440718,0.01468798,0.03975899,0.0005158465,0.0003344784,0.000510901,0.00002146235,0.00003555735,0.00006300891],"genre_scores_gemma":[0.9915957,0.0001188097,0.007745905,0.0002329357,0.000241441,0.000006994937,0.00003154662,0.00002461488,0.000001989421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07376967,"threshold_uncertainty_score":0.7753871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005574142028193398,"score_gpt":0.1973656712004967,"score_spread":0.1917915291723033,"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."}}