{"id":"W1998071148","doi":"10.1016/j.bone.2011.02.010","title":"Effect of maturational timing on bone mineral content accrual from childhood to adulthood: Evidence from 15years of longitudinal data","year":2011,"lang":"en","type":"article","venue":"Bone","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Bone mineral content; Medicine; Bone mineral; Longitudinal study; Femoral neck; Physiology; Early adulthood; Peak bone mass; Internal medicine; Young adult; Body mass index; Osteoporosis; Endocrinology; Demography; Pathology","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":[0.008217373,0.0006509222,0.0009975125,0.0012524,0.0006431116,0.001058768,0.001093994,0.001249057,0.002168811],"category_scores_gemma":[0.02143694,0.0009196856,0.001848484,0.00213979,0.0008237393,0.001179617,0.001464712,0.0008665654,0.0002702964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000564147,"about_ca_system_score_gemma":0.0009908642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02215928,"about_ca_topic_score_gemma":0.01985187,"domain_scores_codex":[0.9958691,0.001784618,0.0004327941,0.001039408,0.0004770102,0.0003969573],"domain_scores_gemma":[0.9680616,0.01416039,0.009845843,0.004329703,0.002352708,0.00124971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002600049,0.0001061718,0.9872248,0.0001257925,0.001378117,0.00006990057,0.0001972504,0.0001643841,0.0002525127,0.00009887209,0.000167494,0.00761462],"study_design_scores_gemma":[0.00002378809,0.0003287079,0.9984514,0.00003595655,0.0004155229,0.00008701763,0.00005905977,0.00006877972,0.0001050226,0.00005050961,0.0003679407,0.000006463324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780093,0.01864891,0.0003918451,0.0003187292,0.00005159913,0.00001721936,0.001775309,0.00001930813,0.0007677781],"genre_scores_gemma":[0.9925506,0.004775259,0.0005289131,0.00008692272,0.00003965367,0.00002908114,0.001431463,0.00001342212,0.0005447664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02215928,"threshold_uncertainty_score":0.04406059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1795505673134059,"score_gpt":0.3776350279032425,"score_spread":0.1980844605898366,"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."}}