{"id":"W2533173460","doi":"10.1016/j.ebiom.2016.10.033","title":"Intestinal Microbiome and Atherosclerosis","year":2016,"lang":"en","type":"letter","venue":"EBioMedicine","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Microbiome; Gut microbiome; Computational biology; Intestinal Microbiome; Biology; Bioinformatics; Medicine; Genetics","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":[0.0005100439,0.0003183548,0.0004759591,0.001008613,0.0006096875,0.00188321,0.0001917382,0.001039838,0.007739942],"category_scores_gemma":[0.001854025,0.000166859,0.0004527198,0.001053153,0.0003797004,0.0007424138,0.001186366,0.001055502,0.001087102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004801452,"about_ca_system_score_gemma":0.000549896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002516105,"about_ca_topic_score_gemma":0.002356749,"domain_scores_codex":[0.9995558,0.0001708205,0.00002691437,0.00008079685,0.00008614473,0.00007957365],"domain_scores_gemma":[0.9995453,0.00009339309,0.0001570593,0.00002410526,0.00007838459,0.00010175],"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":[0.001951352,0.0004588485,0.161951,0.008361932,0.001316437,0.002402077,0.002793311,0.0004530831,0.0183508,0.01996392,0.1254594,0.6565378],"study_design_scores_gemma":[0.0001262012,0.0005726359,0.4726646,0.005489313,0.0006572193,0.005882793,0.002513732,0.0004559764,0.002223328,0.0234294,0.4858293,0.0001554496],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.2022236,0.7065198,0.002280197,0.03536322,0.001948697,0.00007125038,0.003791019,0.0001951467,0.04760713],"genre_scores_gemma":[0.5951901,0.3733417,0.003631152,0.006565974,0.001537975,0.0001132498,0.002914467,0.00006826074,0.01663711],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.007739942,"threshold_uncertainty_score":0.02589267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070045276724875,"score_gpt":0.2413819681749178,"score_spread":0.2306815154076691,"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."}}