{"id":"W2134549717","doi":"10.1371/journal.pone.0079547","title":"Association of a Body Mass Index Genetic Risk Score with Growth throughout Childhood and Adolescence","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Ontario Institute for Cancer Research; University of Toronto","funders":"National Health and Medical Research Council; Medical Research Council; Canadian Institutes of Health Research; Women and Infants Research Foundation; Raine Medical Research Foundation; University of Bristol; Australian Government; Curtin University of Technology; Wellcome Trust","keywords":"Body mass index; Allele; Obesity; Single-nucleotide polymorphism; Longitudinal study; Genotype; Additive genetic effects; Demography; Biology; Medicine; Internal medicine; Genetics; Heritability; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006457573,0.0002865682,0.0002098707,0.0005125341,0.0001945047,0.0004739629,0.000280047,0.000312764,0.002414378],"category_scores_gemma":[0.002269672,0.0001334962,0.0003300275,0.0006767384,0.0002480392,0.0001780311,0.0003652975,0.0006206988,0.0002098627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001720895,"about_ca_system_score_gemma":0.0002762538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00481434,"about_ca_topic_score_gemma":0.005294278,"domain_scores_codex":[0.9996878,0.0000799538,0.00002550085,0.0001005535,0.00006139743,0.00004487179],"domain_scores_gemma":[0.9979597,0.0006417013,0.0008112843,0.0001488879,0.0001782455,0.0002602882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009507155,0.000009148318,0.9980028,0.00000490697,0.00006553255,0.00004488879,0.00002456911,0.00006810169,0.0004038917,0.00003186655,0.00005045866,0.001198724],"study_design_scores_gemma":[0.000001796606,0.00002731333,0.9993929,0.000002514191,0.00002242685,0.0001443934,0.0000205066,0.0002236625,0.00006092676,0.00002777869,0.00007484034,0.000001012981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982502,0.0002636724,0.0003232431,0.00006795,0.000005226253,0.000004082595,0.0005825071,0.00001197456,0.0004911086],"genre_scores_gemma":[0.9987264,0.0001236461,0.0004046651,0.000009652142,0.000005614378,0.000005600207,0.0005105092,0.000006297046,0.0002075342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00481434,"threshold_uncertainty_score":0.009572625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008565670824404745,"score_gpt":0.1996569076116002,"score_spread":0.1910912367871955,"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."}}