{"id":"W3157705350","doi":"10.1093/jtm/taab067","title":"Gut microbiome and resistome changes during the first wave of the COVID-19 pandemic in comparison with pre-pandemic travel-related changes","year":2021,"lang":"en","type":"article","venue":"Journal of Travel Medicine","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Health and Medical Research Fund; University of Hong Kong","keywords":"Resistome; Pandemic; Microbiome; Medicine; Antibiotic resistance; Metagenomics; Actinobacteria; Coronavirus disease 2019 (COVID-19); Microbiology; Antibiotics; Biology; Gene; Genetics; Infectious disease (medical specialty); Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001772743,0.0002135287,0.0002866017,0.0003581964,0.0003425002,0.0005939337,0.0001185869,0.0004401993,0.002505491],"category_scores_gemma":[0.0006136415,0.0001673108,0.0002656724,0.0003771337,0.000212376,0.0003967366,0.0005719665,0.0005019344,0.0002376781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003307674,"about_ca_system_score_gemma":0.0003013843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006056747,"about_ca_topic_score_gemma":0.01069352,"domain_scores_codex":[0.9998388,0.00002106841,0.000009458616,0.0000469785,0.00001920743,0.00006452249],"domain_scores_gemma":[0.9997266,0.00001886933,0.0001049018,0.00001284002,0.00004373516,0.00009311261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001930232,0.0001369948,0.9504212,0.0001767148,0.000171634,0.0003677017,0.001115304,0.0002029033,0.03199245,0.0001189864,0.000645555,0.01272037],"study_design_scores_gemma":[0.000002924917,0.0001317166,0.9983003,0.00001556599,0.00001624689,0.0001035947,0.0006276305,0.00006425048,0.0003413439,0.00002798321,0.0003638241,0.000004749193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982028,0.0005423333,0.00007386957,0.00007509304,0.00001224656,0.000009661252,0.0005671319,0.000003658359,0.0005130805],"genre_scores_gemma":[0.998133,0.0003131491,0.0001269447,0.00008335831,0.00001352855,0.00001729495,0.0006638474,0.000004107397,0.0006447685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006056747,"threshold_uncertainty_score":0.012043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03078184113112659,"score_gpt":0.2950963731854541,"score_spread":0.2643145320543275,"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."}}