{"id":"W2912937798","doi":"10.20411/pai.v4i1.270","title":"The Microbiome of Temporal Arteries","year":2019,"lang":"en","type":"article","venue":"Pathogens and Immunity","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Center for Advancing Translational Sciences; Arthritis Society; Union Chimique Belge; Canadian Rheumatology Association; Cleveland Clinic; National Institutes of Health; Ambrose Monell Foundation","keywords":"Microbiome; Temporal artery; Biology; Medicine; Pathology; Bioinformatics; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001035197,0.00004343392,0.0001017403,0.00001894041,0.0001198931,0.000008011142,0.00002974206,0.0000358349,0.00009078594],"category_scores_gemma":[0.000009946256,0.00002489469,0.00005259093,0.00005656045,0.0000995996,0.00001891719,0.0000254837,0.00009461198,0.00002044362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003906993,"about_ca_system_score_gemma":0.00001871895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003166746,"about_ca_topic_score_gemma":0.000003575223,"domain_scores_codex":[0.9997075,0.00002578368,0.000103046,0.00004834957,0.00003872836,0.00007658278],"domain_scores_gemma":[0.9996773,0.00002553996,0.00003173666,0.0001979297,0.00004163265,0.00002586839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005714822,0.0001142265,0.06625488,0.00008670385,0.0001629297,0.00000716314,0.000828328,2.539887e-7,0.9183529,0.001865137,0.0004738244,0.01179653],"study_design_scores_gemma":[0.001656951,0.0005365567,0.9124131,0.0001413287,0.0001303543,0.0002511606,0.002440309,0.000041492,0.01050635,0.0005964938,0.07114876,0.0001371934],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953825,0.001354369,0.00000563737,0.0003800366,0.0000844209,0.0001103433,0.00003027184,0.000008081496,0.002644342],"genre_scores_gemma":[0.9981858,0.0004220988,0.00008134607,0.00003718859,0.00001018464,0.000002117346,0.00002840978,0.000004083738,0.001228802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9078465,"threshold_uncertainty_score":0.1015176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007369982946553621,"score_gpt":0.2212895306789103,"score_spread":0.2139195477323567,"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."}}