{"id":"W4383875510","doi":"10.1016/j.cmet.2023.06.011","title":"Inflammation and cholesterol at the crossroads of vascular risk","year":2023,"lang":"en","type":"letter","venue":"Cell Metabolism","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"University of Toronto","keywords":"Inflammation; Residual risk; Cholesterol; Medicine; Internal medicine; Cardiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003721834,0.0009628792,0.002307527,0.0008218274,0.004347359,0.004185115,0.001487134,0.0498437,0.006303603],"category_scores_gemma":[0.01629486,0.0007895195,0.001117593,0.0007173906,0.003481642,0.003807,0.001734417,0.04546633,0.005032049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003680138,"about_ca_system_score_gemma":0.005041885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008266925,"about_ca_topic_score_gemma":0.01377175,"domain_scores_codex":[0.9971266,0.001243735,0.0002616317,0.0002784317,0.0007445429,0.0003449447],"domain_scores_gemma":[0.9944547,0.00309161,0.0003462672,0.0001655113,0.0007652316,0.001176712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002738419,0.0001256366,0.00246857,0.00008809332,0.00004906125,0.002805226,0.0002596573,0.00007767716,0.0003090478,0.005801694,0.9720135,0.01572795],"study_design_scores_gemma":[0.0006475858,0.0002188485,0.005363217,0.0009756419,0.0001535794,0.003886613,0.001365194,0.001295701,0.0004308126,0.04212876,0.9433931,0.0001410338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004623298,0.002193656,0.00005242234,0.9805074,0.01476614,0.000007129196,0.00002718624,0.00001126349,0.001972347],"genre_scores_gemma":[0.008021717,0.003038607,0.0002563117,0.8347151,0.1471963,0.00004705093,0.00002821681,0.00001864797,0.006678087],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0498437,"threshold_uncertainty_score":0.02670139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109947348079097,"score_gpt":0.2333635452040803,"score_spread":0.2222640717232894,"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."}}