{"id":"W7103196171","doi":"10.1016/j.jas.2025.106417","title":"Ageing dogs and wolves using x-ray micro-computed tomography (μ-CT): an application to canid remains from the Junction Site, Alberta, Canada","year":2025,"lang":"en","type":"article","venue":"Journal of Archaeological Science","topic":"Forensic Anthropology and Bioarchaeology Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Northwest Territories; University of Calgary; University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Cementum; Ageing; Computed tomography; Molar; Age groups; Canis; Margin (machine learning)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006437559,0.0004082415,0.0002700628,0.002368936,0.001943392,0.001090615,0.0007551695,0.0004385764,0.0005876158],"category_scores_gemma":[0.0009994516,0.0003191312,0.0002465091,0.002800705,0.0007542964,0.0001559061,0.0006296518,0.0002708983,0.0001651434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005504605,"about_ca_system_score_gemma":0.003923157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9558966,"about_ca_topic_score_gemma":0.9867432,"domain_scores_codex":[0.9995576,0.00003560431,0.00002140332,0.00007848444,0.0002266215,0.00008024748],"domain_scores_gemma":[0.9992926,0.00007137794,0.0000923627,0.00003918148,0.000404992,0.00009940646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002524122,0.00005427413,0.9451641,0.00006946707,0.0000712464,0.001147567,0.003357711,0.0007610419,0.007253755,0.0001118663,0.0004669836,0.04128936],"study_design_scores_gemma":[0.000004009679,0.00002765755,0.9942749,0.00002171175,0.00002864298,0.0004258483,0.002520738,0.0008109065,0.0005871356,0.00002872521,0.001260893,0.00000883246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954554,0.001169401,0.0007776193,0.00005895897,0.000005628478,0.00008581131,0.000615546,0.00001737378,0.001814286],"genre_scores_gemma":[0.9912471,0.001442555,0.005111902,0.00006479946,0.000006186237,0.00002534198,0.0006127746,0.000008979127,0.00148037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04410344,"threshold_uncertainty_score":0.08872628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471027398710827,"score_gpt":0.2490570459389102,"score_spread":0.2343467719518019,"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."}}