{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002047656,0.0002834163,0.0002541593,0.0006360263,0.0004430666,0.0008588805,0.0001237232,0.000368707,0.001804274],"category_scores_gemma":[0.0007476929,0.0001499699,0.0001738913,0.0004786055,0.0003595523,0.0003079306,0.000466343,0.0002283344,0.0003492711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002154324,"about_ca_system_score_gemma":0.0002804478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001816763,"about_ca_topic_score_gemma":0.00127814,"domain_scores_codex":[0.9998075,0.00003720016,0.00001518945,0.00004820439,0.00004850797,0.00004340491],"domain_scores_gemma":[0.9997829,0.00003264993,0.00008108548,0.000015352,0.00004283435,0.00004530755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001658591,0.0001075464,0.682384,0.0003121258,0.0001477062,0.004982273,0.002450449,0.0001782952,0.2679698,0.0002546824,0.0006628374,0.03889172],"study_design_scores_gemma":[0.00003221494,0.0006986663,0.960002,0.0001119287,0.0001551354,0.01942042,0.002639021,0.0006274761,0.01213192,0.0003389363,0.003820696,0.00002151442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997744,0.001101612,0.0002726287,0.00006806176,0.000009659435,0.000009498667,0.0001672821,0.000007422847,0.0006199157],"genre_scores_gemma":[0.9973196,0.001246479,0.0006294159,0.000103021,0.00003405528,0.00001624766,0.0002329028,0.000004218977,0.0004140791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001816763,"threshold_uncertainty_score":0.006035864,"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."}}