{"id":"W2489853012","doi":"10.1016/j.atherosclerosis.2016.07.902","title":"Inflammation, depression and atherosclerosis or depression, inflammation and atherosclerosis?","year":2016,"lang":"en","type":"letter","venue":"Atherosclerosis","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Depression (economics); Medicine; Inflammation; Coronary artery disease; Psoriasis; Internal medicine; Cardiology; Positron emission tomography; Diabetes mellitus; Subclinical infection; Coronary atherosclerosis; Risk factor; Disease; Computed tomography angiography; Endothelial dysfunction; Angiography; Radiology; Immunology; Endocrinology","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":[0.002319775,0.0006483417,0.001632008,0.000541149,0.002318877,0.002485969,0.001198923,0.0298098,0.006464981],"category_scores_gemma":[0.01258989,0.0003522851,0.0007579528,0.0005231043,0.002926621,0.003963718,0.001345539,0.02567021,0.003213532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001908829,"about_ca_system_score_gemma":0.00331496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003522783,"about_ca_topic_score_gemma":0.008300264,"domain_scores_codex":[0.9989607,0.000407049,0.000162256,0.0001181713,0.0002434618,0.0001083116],"domain_scores_gemma":[0.9965624,0.002245931,0.0002592986,0.0001110449,0.0003711396,0.0004500792],"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":[0.0003247899,0.000149921,0.001308055,0.0003299933,0.00004343958,0.003469614,0.0002267477,0.000075969,0.0002837724,0.009409104,0.9333884,0.05099015],"study_design_scores_gemma":[0.0006779418,0.0001953176,0.002712569,0.001738306,0.00008948043,0.005313063,0.001056721,0.0006228891,0.0002304818,0.04233088,0.9449523,0.00008000309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0003880265,0.01533756,0.00005792118,0.9652764,0.01718366,0.000005754324,0.00002589729,0.000009166953,0.001715637],"genre_scores_gemma":[0.007913556,0.02611667,0.0002536146,0.7378111,0.2212349,0.00003718281,0.00003755282,0.00001230515,0.006583231],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.0298098,"threshold_uncertainty_score":0.02162755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03224569333431405,"score_gpt":0.244575387611064,"score_spread":0.21232969427675,"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."}}