{"id":"W2932666599","doi":"10.1093/rheumatology/kez060.010","title":"183. MICROBIOME IN AORTITIS","year":2019,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Infectious Aortic and Vascular Conditions","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Aortitis; Medicine; Microbiome; Internal medicine; Bioinformatics; Aorta; Biology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008872167,0.00007756777,0.0001802787,0.0001140726,0.00002440975,0.00001081588,0.0000403149,0.00007426521,0.001562715],"category_scores_gemma":[0.00001766925,0.00007320767,0.00009060099,0.0001963991,0.0000224736,0.0000519453,0.00002156939,0.0001354341,0.001918276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000550619,"about_ca_system_score_gemma":0.00005445277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001961691,"about_ca_topic_score_gemma":0.00005808874,"domain_scores_codex":[0.9993796,0.00001623439,0.000152843,0.0001622219,0.00008952954,0.0001995876],"domain_scores_gemma":[0.9996196,0.00001414339,0.00002545813,0.0002547759,0.00003144454,0.00005459483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003212443,0.0003348452,0.925247,0.0001337814,0.0001346549,0.0002084456,0.0004338193,0.00001119582,0.06175737,0.00358217,0.005772054,0.002352509],"study_design_scores_gemma":[0.002969746,0.0002037027,0.9056854,0.0001406326,0.00006980095,0.0002837991,0.00007970593,0.0001374432,0.0023397,0.0003386251,0.08754718,0.0002042946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651018,0.000117512,0.0001028632,0.0003806915,0.0002138908,0.0002859646,0.000008069705,0.00005355427,0.03373564],"genre_scores_gemma":[0.9930586,0.00002581601,0.0002210989,0.0007514872,0.00008085969,0.00001469247,0.00006016731,0.00001528687,0.005772053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08177513,"threshold_uncertainty_score":0.99935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007835374002660789,"score_gpt":0.250302640860501,"score_spread":0.2424672668578402,"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."}}