{"id":"W3174797583","doi":"","title":"Examining sampling strategies for archaeological dental calculus through the exploration of the regional variation of bacteria in the oral microbiome","year":2020,"lang":"en","type":"article","venue":"American Journal of Physical Anthropology","topic":"Oral microbiology and periodontitis research","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Variation (astronomy); Microbiome; Sampling (signal processing); Oral Microbiome; Archaeology; Geography; Evolutionary biology; Calculus (dental); Biology; Computer science; Dentistry; Medicine; Bioinformatics; Computer vision","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":[0.004527181,0.0003807754,0.0003539209,0.001155132,0.001424645,0.001953383,0.0007590041,0.0005882476,0.0007559922],"category_scores_gemma":[0.01131051,0.0002946567,0.0003919067,0.00163554,0.001039587,0.0008058594,0.001668858,0.000472249,0.0002346044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006272759,"about_ca_system_score_gemma":0.00149374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01667651,"about_ca_topic_score_gemma":0.0473254,"domain_scores_codex":[0.9965813,0.001990819,0.0001318836,0.0005353744,0.0004758845,0.0002848153],"domain_scores_gemma":[0.997151,0.001304017,0.0006164269,0.0003106134,0.0005127782,0.0001051576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003115817,0.0001654958,0.862653,0.0002780951,0.00028623,0.0003877531,0.02033294,0.001537519,0.03214695,0.004026592,0.0005910087,0.07728294],"study_design_scores_gemma":[0.00001698713,0.0003478034,0.9326544,0.0002249443,0.0002998761,0.0008074025,0.03934097,0.004968784,0.009411976,0.003472601,0.008403083,0.00005123161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798529,0.001462476,0.01541308,0.0003272234,0.00003175024,0.00009694766,0.0001734029,0.00001280731,0.002629423],"genre_scores_gemma":[0.9851201,0.0005762145,0.01365793,0.0001190526,0.00001444216,0.00005736386,0.00008411998,0.00001593136,0.0003547201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01667651,"threshold_uncertainty_score":0.0331589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1214513118382757,"score_gpt":0.3807876377477784,"score_spread":0.2593363259095026,"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."}}