{"id":"W2966702089","doi":"10.1111/ijpo.12570","title":"Body fat accrual trajectories for a sample of Asian‐Canadian and Caucasian‐Canadian children and youth: A longitudinal DXA‐based study","year":2019,"lang":"en","type":"article","venue":"Pediatric Obesity","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Vancouver Coastal Health; University of Victoria","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Medicine; Percentile; Demography; Accrual; Ethnic group; Body mass index; White (mutation); Longitudinal study; Statistics; Internal medicine; Mathematics; Pathology","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":[0.001041609,0.0005467755,0.0005002415,0.001688741,0.003663688,0.001245357,0.001133295,0.0004311795,0.001415709],"category_scores_gemma":[0.001294997,0.0004151207,0.0006641342,0.00375571,0.0005946593,0.0004556756,0.0008800053,0.0008512128,0.0003677261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01455472,"about_ca_system_score_gemma":0.01643845,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9883788,"about_ca_topic_score_gemma":0.9917634,"domain_scores_codex":[0.9993388,0.0000318518,0.00002772492,0.0001085825,0.0002765733,0.0002163672],"domain_scores_gemma":[0.999095,0.00002940974,0.0001173592,0.00003485712,0.0005392543,0.0001841803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006074281,0.0000494268,0.9924966,0.00002983711,0.00005071874,0.00006727317,0.001538912,0.00007225924,0.0001664966,0.00009721245,0.0008128537,0.004557697],"study_design_scores_gemma":[0.000003896594,0.00002078481,0.9974401,0.00002167326,0.00002265701,0.00004738881,0.00152696,0.0001259299,0.00004998081,0.00001318125,0.0007205369,0.000006841526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940743,0.0002657823,0.0002165021,0.0001009502,0.000005693918,0.00005437345,0.004030216,0.00001357014,0.001238714],"genre_scores_gemma":[0.9925025,0.0005357064,0.0009951253,0.00008732504,0.000004284138,0.00008134785,0.00439542,0.00001546973,0.00138282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01455472,"threshold_uncertainty_score":0.1056024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02085260388785026,"score_gpt":0.259919770575315,"score_spread":0.2390671666874647,"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."}}