{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002286873,0.0003198531,0.0004412761,0.0006792189,0.0003177223,0.0005529992,0.00009785919,0.0003668657,0.001138634],"category_scores_gemma":[0.0006123568,0.0001310096,0.0001810523,0.000590852,0.000233129,0.0002499343,0.0003834475,0.0002563738,0.000218515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001563105,"about_ca_system_score_gemma":0.0001400008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00110188,"about_ca_topic_score_gemma":0.00134114,"domain_scores_codex":[0.9997779,0.00004903526,0.00002186573,0.00005105624,0.00005024494,0.00004996026],"domain_scores_gemma":[0.9997818,0.00002708171,0.0001022577,0.000009125188,0.0000374051,0.00004229552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007647065,0.00008017446,0.9610052,0.00009170585,0.00005081508,0.0004848804,0.0004875971,0.0000468013,0.03039651,0.00001679185,0.00008027721,0.006494624],"study_design_scores_gemma":[0.000004837009,0.0004308995,0.9951292,0.0000137214,0.00003171494,0.000793705,0.0007097428,0.00006709317,0.002558728,0.00001675403,0.000238909,0.000004652567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992121,0.0003628629,0.00004425514,0.00001034191,0.000004206157,0.000007741185,0.0001043845,0.00000161965,0.0002523787],"genre_scores_gemma":[0.9993085,0.0001759584,0.000157201,0.00001894482,0.000006588167,0.000008008052,0.0001439952,0.000001215535,0.0001796237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001138634,"threshold_uncertainty_score":0.003809094,"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."}}