{"id":"W6948541504","doi":"10.5061/dryad.jdfn2z3mk","title":"Supplementary information from: An extensive archaeological dental calculus dataset spanning 5000 years for ancient human oral microbiome research","year":2025,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Environmental and Biological Research in Conflict Zones","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Metagenomics; Metadata; Calculus (dental); Microbiome; Ancient DNA; Quality (philosophy)","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":[0.001076479,0.0009074217,0.0007334372,0.001914906,0.0007430837,0.001520759,0.001634514,0.00150445,0.143663],"category_scores_gemma":[0.007785423,0.0004378961,0.000738608,0.003723397,0.0003274975,0.0009182597,0.001812828,0.000989328,0.07137188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009621268,"about_ca_system_score_gemma":0.001767273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01234384,"about_ca_topic_score_gemma":0.03973198,"domain_scores_codex":[0.9993615,0.0001170442,0.0001236516,0.0001937573,0.0001225626,0.00008149691],"domain_scores_gemma":[0.9978083,0.0008585056,0.0002706974,0.000395984,0.0004465011,0.0002200377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001486497,0.00004264519,0.004588922,0.00159441,0.00006858312,0.00008780888,0.00007397154,0.0004257702,0.0003759871,0.0006960471,0.984554,0.007343201],"study_design_scores_gemma":[0.0003103746,0.0000319171,0.01740126,0.0005913227,0.00006838846,0.0002078989,0.0001546188,0.000408253,0.0005011897,0.002432103,0.9778527,0.00004005024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001843212,0.00004692407,0.0001008813,0.0000381029,0.00001293429,0.0000108128,0.9991024,0.00009010998,0.0004136302],"genre_scores_gemma":[0.0007949434,0.00004586563,0.0005996603,0.00005666232,0.000005903409,0.00008498789,0.997875,0.0000338251,0.0005031593],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.143663,"threshold_uncertainty_score":0.4806008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1227885647777047,"score_gpt":0.435355591106628,"score_spread":0.3125670263289233,"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."}}