{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001551819,0.0003205226,0.0003252643,0.0001288378,0.00007396741,0.00001642484,0.0002117701,0.0007055533,0.0001243987],"category_scores_gemma":[0.00003126832,0.000228676,0.0000701137,0.00007502245,0.0003560655,0.000001434416,0.000157806,0.0004085879,0.00007549072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002628416,"about_ca_system_score_gemma":0.00009281321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002624135,"about_ca_topic_score_gemma":0.000004265571,"domain_scores_codex":[0.9985366,0.0000487761,0.0002681525,0.0005717149,0.0001068921,0.0004678071],"domain_scores_gemma":[0.9992582,0.00002011766,0.0001352496,0.0004230293,0.00006685161,0.00009659491],"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":[0.000006667023,0.000003943577,0.0001382036,0.0000780382,0.00002212886,0.000009496783,0.000008918541,7.54639e-10,0.4775072,6.74973e-7,0.5213901,0.0008346459],"study_design_scores_gemma":[0.0006880776,0.0004304579,0.001054184,0.0003030827,0.00003648169,0.0002044528,0.000004778464,1.151485e-7,0.009871767,0.00001571305,0.9871158,0.0002751009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02929041,0.002875732,0.0003265397,0.9648924,0.0009509833,0.0003809875,0.0002910902,0.00004188006,0.0009500014],"genre_scores_gemma":[0.007181629,0.001462327,0.0007411842,0.946431,0.01692648,0.00002383443,0.002046416,0.0001264262,0.02506072],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4676354,"threshold_uncertainty_score":0.9325135,"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."}}