{"id":"W4396856616","doi":"10.1099/mgen.0.001251","title":"Inferring diet, disease and antibiotic resistance from ancient human oral microbiomes","year":2024,"lang":"en","type":"article","venue":"Microbial Genomics","topic":"Oral microbiology and periodontitis research","field":"Dentistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of Bradford","keywords":"Microbiome; Antibiotic resistance; Oral Microbiome; Disease; Resistance (ecology); Antibiotics; Biology; Host (biology); Human microbiome; Metagenomics; Ecology; Medicine; Microbiology; Genetics; Gene","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":[0.0007860164,0.0002569895,0.0004808749,0.001533972,0.0004404803,0.001018712,0.0002313502,0.0004831071,0.001469248],"category_scores_gemma":[0.002653539,0.0002320193,0.0003625318,0.001843766,0.0003455451,0.0005987378,0.0006719191,0.0004798661,0.0004452997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002463611,"about_ca_system_score_gemma":0.0003417106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003723622,"about_ca_topic_score_gemma":0.008202863,"domain_scores_codex":[0.9996915,0.0001216462,0.00002418346,0.00007273339,0.00005039608,0.00003959751],"domain_scores_gemma":[0.9996014,0.0001716139,0.00009758031,0.00003703116,0.00005714326,0.00003520172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005324736,0.0001009941,0.7750747,0.001391213,0.0007507062,0.0008658344,0.00226979,0.001940796,0.0218829,0.001865639,0.002512529,0.1908125],"study_design_scores_gemma":[0.00001174244,0.0001907343,0.9556817,0.0006486455,0.0004672726,0.002435291,0.00303468,0.003168335,0.002619556,0.005982544,0.02571598,0.00004358404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381136,0.03764465,0.01399294,0.0008880571,0.00008802672,0.00003312256,0.003539918,0.00005524749,0.005644331],"genre_scores_gemma":[0.962235,0.01913889,0.01479121,0.0003215023,0.00006580823,0.00003199141,0.002190149,0.0000291991,0.001196153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003723622,"threshold_uncertainty_score":0.00740391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226463149530162,"score_gpt":0.2929013130469631,"score_spread":0.2702549980939469,"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."}}