{"id":"W4400825741","doi":"10.4000/bmsap.14133","title":"Bone mineral density in human femurs of documented age-at-death in a comparative context","year":2024,"lang":"fr","type":"article","venue":"Bulletins et Mémoires de la Société d anthropologie de Paris","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"TheMuseum","funders":"Koninklijk Belgisch Instituut voor Natuurwetenschappen; Muséum National d'Histoire Naturelle; Université de Bordeaux; Centre National de la Recherche Scientifique","keywords":"Bone mineral; Context (archaeology); Human bone; Mineral; Medicine; Osteoporosis; Geography; Biology; Materials science; Metallurgy; Internal medicine; Archaeology; Genetics","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002663296,0.000554898,0.001359481,0.0005022948,0.0001726638,0.0001066544,0.0002913677,0.0007564732,0.002882526],"category_scores_gemma":[0.0004202317,0.0005858025,0.0003488848,0.0005256698,0.002983089,0.0001124951,0.0003220637,0.001475637,0.00005605306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003577576,"about_ca_system_score_gemma":0.0005866404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01305209,"about_ca_topic_score_gemma":0.002594689,"domain_scores_codex":[0.9942423,0.002314271,0.001140748,0.0007344728,0.0005148195,0.001053379],"domain_scores_gemma":[0.9975458,0.001321709,0.0002695208,0.0004681801,0.0001777728,0.0002169875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001409872,0.00474383,0.230864,0.002204353,0.0008801341,0.01458694,0.01810181,0.0001480896,0.150901,0.07695752,0.4943239,0.004878501],"study_design_scores_gemma":[0.0151395,0.004117739,0.3690844,0.01553107,0.001331587,0.001270202,0.03447441,0.003601311,0.2055043,0.01089186,0.3363725,0.002681091],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8983207,0.0394876,0.001027595,0.02673353,0.0008307691,0.001325509,0.0001236155,0.0004456055,0.03170504],"genre_scores_gemma":[0.9861255,0.005441675,0.002989446,0.001384717,0.0002206738,0.0001311861,0.000110355,0.00006756541,0.003528927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1579514,"threshold_uncertainty_score":0.9997302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06445672650757531,"score_gpt":0.4246105729393421,"score_spread":0.3601538464317668,"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."}}