{"id":"W4388333465","doi":"10.3390/microorganisms11112703","title":"Bacterial Biomarkers of the Oropharyngeal and Oral Cavity during SARS-CoV-2 Infection","year":2023,"lang":"en","type":"article","venue":"Microorganisms","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université de Sherbrooke; Université du Québec à Chicoutimi","funders":"Génome Québec; Ministère de la Santé et des Services sociaux; Public Health Agency of Canada; Université de Sherbrooke","keywords":"Dysbiosis; Veillonella; Microbiome; Prevotella; Respiratory tract; Actinomyces; Biology; Amplicon sequencing; Immunology; Microbiology; Streptococcus; Medicine; 16S ribosomal RNA; Respiratory system; Bacteria; Bioinformatics; Genetics","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":[0.0001089053,0.00009287451,0.0001038015,0.00003069278,0.0001197044,0.00001375505,0.00008046431,0.0001061851,0.000009299579],"category_scores_gemma":[0.00001617271,0.00007463311,0.00004591636,0.0001399202,0.00008693639,0.000002904025,0.0001712774,0.00005385196,0.00001123919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001348854,"about_ca_system_score_gemma":0.00005101345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00025606,"about_ca_topic_score_gemma":0.0002902574,"domain_scores_codex":[0.999411,0.00005061907,0.000130657,0.000190401,0.0000416513,0.0001756779],"domain_scores_gemma":[0.9997084,0.000002844666,0.00005768505,0.0001817579,0.00002674143,0.00002256997],"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":[0.00004337568,0.00001417426,0.009788599,0.00004338398,0.00002354311,9.035987e-7,0.00005695201,2.239887e-7,0.9884462,0.000002997357,0.001374982,0.0002046101],"study_design_scores_gemma":[0.0003449522,0.00004388623,0.2601086,0.000006202167,0.000008561096,0.00001882142,0.000008061889,6.759298e-7,0.7368566,0.000007301818,0.00253555,0.00006077286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999257,0.00004230063,0.000007242526,0.0001396683,0.000337008,0.0001274934,0.00003381056,0.00001668618,0.00003881246],"genre_scores_gemma":[0.9994972,0.00008723919,0.0000629054,0.00008444709,0.00008755519,0.000001993585,0.0000454347,0.00001626126,0.0001169076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2515897,"threshold_uncertainty_score":0.304345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200293843261018,"score_gpt":0.2583135107219208,"score_spread":0.2463105722893106,"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."}}