{"id":"W4205859158","doi":"10.3389/fimmu.2021.771136","title":"Airway Microbiome and Serum Metabolomics Analysis Identify Differential Candidate Biomarkers in Allergic Rhinitis","year":2022,"lang":"en","type":"article","venue":"Frontiers in Immunology","topic":"Allergic Rhinitis and Sensitization","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jilin University; People's Government of Jilin Province; McGill University","keywords":"Metabolomics; Microbiome; Metabolome; Biology; Dysbiosis; Prevotella; Pathogenesis; Immunology; Fatty acid metabolism; Bioinformatics; Genetics; Fatty acid; Biochemistry; Bacteria","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000432135,0.0005148221,0.000678885,0.001134252,0.0002459454,0.0006969403,0.0001227394,0.0005602828,0.0008169389],"category_scores_gemma":[0.0008007143,0.0002054989,0.0005218511,0.0007407033,0.0001767172,0.0002839123,0.0004817383,0.0003314985,0.0001893668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001913932,"about_ca_system_score_gemma":0.0002029726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008806234,"about_ca_topic_score_gemma":0.0009060865,"domain_scores_codex":[0.9996133,0.00009768408,0.00003482781,0.0001123295,0.00007467724,0.00006716911],"domain_scores_gemma":[0.9997661,0.00005152006,0.0000861751,0.00001438054,0.00003932862,0.00004256942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003014427,0.0002817006,0.7200342,0.0002678268,0.0005352898,0.0005268359,0.0001787461,0.0005822426,0.2484222,0.00009110245,0.000366691,0.0256987],"study_design_scores_gemma":[0.00002189968,0.0004407025,0.9820415,0.00002910165,0.0002459747,0.0006351365,0.0001942114,0.002809457,0.0127042,0.000169444,0.0006913113,0.00001703439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950302,0.002544281,0.001276059,0.00009953459,0.00001773,0.00002667921,0.0006133877,0.00002683092,0.000365292],"genre_scores_gemma":[0.996822,0.0005712969,0.001681678,0.00009581717,0.00002041377,0.0000212043,0.0005626613,0.000007802709,0.0002171167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001134252,"threshold_uncertainty_score":0.002732933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006840932544897354,"score_gpt":0.2302632678499481,"score_spread":0.2234223353050507,"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."}}