{"id":"W4410694533","doi":"10.1080/19490976.2025.2505117","title":"Metaproteomics reveals age-specific alterations of gut microbiome in hamsters with SARS-CoV-2 infection","year":2025,"lang":"en","type":"article","venue":"Gut Microbes","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Health Canada","funders":"Health Canada; Agence Nationale de la Recherche; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Biology; Metaproteomics; Microbiome; Gut microbiome; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Virology; Metagenomics; Immunology; Disease; Microbiology; Bioinformatics; Genetics; Infectious disease (medical specialty); Internal medicine; Gene; Medicine","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":[0.0001959318,0.0001970109,0.0002840135,0.0002532403,0.00008157292,0.00003775469,0.0001505059,0.0001744402,0.000006283528],"category_scores_gemma":[0.00001366089,0.0001852364,0.00008868462,0.0003413934,0.0001302463,0.000008812574,0.00008057905,0.0001294638,0.000009298196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005202584,"about_ca_system_score_gemma":0.0001324345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002710781,"about_ca_topic_score_gemma":0.001174324,"domain_scores_codex":[0.9987822,0.00008290391,0.0004196861,0.0003883408,0.00004410253,0.0002828299],"domain_scores_gemma":[0.9993499,0.000008988538,0.0001284227,0.0003901494,0.00009810978,0.00002441461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009004576,0.0001115655,0.003610489,0.0001195874,0.00005377467,0.000003031346,0.0001089914,0.00003022799,0.9883979,0.0001589938,0.007066747,0.0002486552],"study_design_scores_gemma":[0.0008636437,0.0001479799,0.01981026,0.0001484978,0.00002260652,0.00001942776,0.00002757616,0.000002729556,0.936072,0.00007226615,0.04262004,0.000192951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953758,0.000759663,0.00234646,0.0002796346,0.0001584393,0.0004718219,0.00005050012,0.00001299809,0.0005446851],"genre_scores_gemma":[0.9931208,0.0005110607,0.004687097,0.0005940993,0.00004695525,0.0000285546,0.00024103,0.00002124332,0.000749171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05232588,"threshold_uncertainty_score":0.7553723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564098904146468,"score_gpt":0.2802672937216364,"score_spread":0.2646263046801717,"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."}}