{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000422076,0.0002332725,0.0004558118,0.0005874831,0.0001702981,0.00004177193,0.0001149265,0.0001330969,0.00006677213],"category_scores_gemma":[0.0001687671,0.0002342805,0.00007596126,0.0003165761,0.00005018786,0.0001175782,0.00002753858,0.0001808736,0.000003650125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001890185,"about_ca_system_score_gemma":0.0005913661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3045867,"about_ca_topic_score_gemma":0.3117969,"domain_scores_codex":[0.9984656,0.00006090095,0.0003015919,0.0004462815,0.0003044093,0.0004211958],"domain_scores_gemma":[0.9986489,0.00009022022,0.000104589,0.0003341314,0.0002030744,0.0006190909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008256267,0.0002131875,0.9984002,0.00009282782,0.00005367721,0.000004969157,0.0005820423,2.280278e-7,0.0000639798,0.00005446724,0.0002814225,0.0001703968],"study_design_scores_gemma":[0.002045638,0.001127057,0.9954854,0.00002099932,0.0005159908,0.00001162088,0.0002691808,0.00001852886,0.0001918589,0.00006806599,0.00003084677,0.0002148277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954457,0.0002707477,0.0001888899,0.0003168468,0.00009474855,0.002640021,0.0007886579,0.0000716652,0.0001827262],"genre_scores_gemma":[0.9976613,0.000016904,0.001729599,0.00008914861,0.0002634571,0.00003120694,0.0001640797,0.00002813182,0.00001617054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007210163,"threshold_uncertainty_score":0.9553683,"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."}}