{"id":"W4410280578","doi":"10.3389/fimmu.2025.1524392","title":"MicroRNA expression and their molecular targets in food allergies: a systematic review","year":2025,"lang":"en","type":"review","venue":"Frontiers in Immunology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Agriculture","keywords":"microRNA; Allergy; Biology; Computational biology; Expression (computer science); Genetics; Medicine; Bioinformatics; Immunology; Gene; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003812228,0.001186599,0.006816032,0.008391441,0.00042237,0.001920106,0.001142951,0.001408332,0.003849621],"category_scores_gemma":[0.01675761,0.0006002148,0.007017578,0.00850028,0.0005938929,0.0015412,0.0009755442,0.0008332502,0.0002809048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001843885,"about_ca_system_score_gemma":0.005684966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00432788,"about_ca_topic_score_gemma":0.01002931,"domain_scores_codex":[0.9961986,0.001148258,0.001496589,0.0004508313,0.0005713116,0.0001344123],"domain_scores_gemma":[0.9860809,0.01044992,0.002278891,0.0001694574,0.0008931656,0.0001276521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002245145,0.00001385919,0.001427112,0.9497362,0.009742991,0.00009231716,0.0001169686,0.0001090457,0.0002229802,0.0002217678,0.001212081,0.03688008],"study_design_scores_gemma":[0.0003209955,0.0003239923,0.01160058,0.8205212,0.1338794,0.0007740248,0.0002985899,0.0001785906,0.000369588,0.0005808921,0.03109186,0.0000602212],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008358464,0.9983335,0.00008623383,0.0001478481,0.00005657828,0.00008015425,0.0003191484,0.000004548246,0.0001360489],"genre_scores_gemma":[0.0153797,0.9831159,0.0003990582,0.000397108,0.00007864962,0.0003121821,0.0002309429,0.000003904972,0.0000825125],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008391441,"threshold_uncertainty_score":0.02016121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006937786731861078,"score_gpt":0.2451839076989724,"score_spread":0.2382461209671113,"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."}}