{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002075915,0.0002578036,0.0002943731,0.0001583877,0.0003445584,0.0005082617,0.000296207,0.0001667118,0.0004216174],"category_scores_gemma":[0.0000237019,0.0002618789,0.0001261453,0.0001965979,0.0003601801,0.0001600405,0.0003498463,0.0003554627,0.0006940869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001687146,"about_ca_system_score_gemma":0.0001212545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003191563,"about_ca_topic_score_gemma":0.002255424,"domain_scores_codex":[0.9983101,0.0000993663,0.0003229486,0.0006892217,0.0000706163,0.0005077375],"domain_scores_gemma":[0.9993412,0.00005450642,0.00004205296,0.0003622907,0.00004130433,0.0001586317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001802329,0.00004443789,0.008131968,0.0001862062,0.0001038409,0.0004576627,0.0002413801,0.000003196941,0.9726927,0.0003584868,0.01692476,0.0006751191],"study_design_scores_gemma":[0.001532447,0.0001380404,0.2304812,0.0007713382,0.0002245508,0.00009502973,0.00009723155,0.00008100857,0.1132166,0.0009097222,0.6511558,0.001297038],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838563,0.01240885,0.00006763229,0.0001742943,0.001115862,0.0002463642,0.00170942,0.0001346804,0.0002866286],"genre_scores_gemma":[0.991874,0.0002057326,0.0006165106,0.0001959142,0.0003190392,0.000003260864,0.0004321601,0.00005322698,0.006300201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8594761,"threshold_uncertainty_score":0.9999834,"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."}}