{"id":"W4410288379","doi":"10.34133/research.0720","title":"Meta-transcriptomics Reveals Dysbiosis of the Respiratory Microbiome in Older Adults with Long COVID","year":2025,"lang":"en","type":"article","venue":"Research","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"National Natural Science Foundation of China","keywords":"Microbiome; Dysbiosis; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Respiratory system; Transcriptome; Pandemic; Metagenomics; Medicine; Biology; Betacoronavirus; Immunology; Virology; Bioinformatics; Internal medicine; Genetics; Disease; Gene; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002324778,0.0002017019,0.0005839458,0.0009059663,0.0001524068,0.00002695779,0.0005839989,0.0001530575,0.0004314505],"category_scores_gemma":[0.0004055964,0.0001279848,0.0002406228,0.002976547,0.0009887867,0.00009429431,0.0003015706,0.001005137,0.00002027806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008207011,"about_ca_system_score_gemma":0.001993546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004076372,"about_ca_topic_score_gemma":0.0002500775,"domain_scores_codex":[0.9961657,0.0008169999,0.0004653177,0.0005910972,0.00118763,0.0007732829],"domain_scores_gemma":[0.9973854,0.0004532376,0.00006014067,0.001127374,0.0007482246,0.0002256418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007686007,0.002413527,0.8067865,0.01315701,0.00341943,0.0006027547,0.001291924,0.00002238393,0.1454072,0.00164969,0.01141706,0.006146503],"study_design_scores_gemma":[0.005118149,0.0001730851,0.9574348,0.001621382,0.0004131005,0.00001698146,0.0007873552,0.00006021677,0.03126593,0.0001911683,0.002750393,0.0001673798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812412,0.008752669,0.00002066249,0.003741005,0.00005317204,0.002467764,0.00009412941,0.00002117309,0.003608191],"genre_scores_gemma":[0.9958447,0.0001548155,0.00008535379,0.0003679506,0.00003624629,0.0002121935,0.00001140146,0.00003429912,0.003253072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1506483,"threshold_uncertainty_score":0.5219067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05892253517983302,"score_gpt":0.364928141249343,"score_spread":0.3060056060695099,"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."}}