{"id":"W4394136597","doi":"10.6084/m9.figshare.13290737","title":"Additional file 6 of DNA methylation and body mass index from birth to adolescence: meta-analyses of epigenome-wide association studies","year":2020,"lang":"en","type":"dataset","venue":"UWA Profiles and Research Repository (UWA)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Epigenome; DNA methylation; Meta-analysis; Genetics; Biology; Association (psychology); Index (typography); Body mass index; Methylation; Computational biology; Bioinformatics; DNA; Psychology; Medicine; Computer science; World Wide Web; Gene; Internal medicine; Endocrinology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00065358,0.0002711054,0.0007245085,0.0002426333,0.0002069424,0.00005625645,0.0002239283,0.0004282008,0.002596067],"category_scores_gemma":[0.00515155,0.0002244502,0.0002043484,0.0002531909,0.0001998831,0.00001101384,0.0003447223,0.0003332007,0.000007000584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000517171,"about_ca_system_score_gemma":0.0002461274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001876171,"about_ca_topic_score_gemma":0.000005966463,"domain_scores_codex":[0.9968626,0.0006886606,0.0006389351,0.0006622219,0.0008749574,0.0002726176],"domain_scores_gemma":[0.9960055,0.001853395,0.0006239151,0.0003941737,0.0009523652,0.0001706492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006922825,0.00004226174,0.0003846619,0.0002756422,0.002020466,0.000003630572,0.00002436175,0.000009280594,0.1833238,8.304615e-7,0.813742,0.0001038696],"study_design_scores_gemma":[0.0001234357,0.0003489525,0.005784881,0.0000998474,0.0003913562,2.011423e-7,0.0001437142,0.0000120301,0.4137968,0.0001235193,0.5789978,0.0001774935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00518928,0.006695627,0.00002788826,0.0001253668,0.00006830791,0.0004466008,0.9873935,0.000004324461,0.00004909969],"genre_scores_gemma":[0.007348657,0.003021264,0.0009111887,0.00003796461,0.0004203181,0.0003011392,0.9870163,0.0000232339,0.0009198974],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2347442,"threshold_uncertainty_score":0.9983157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08381617745596213,"score_gpt":0.3732737749898342,"score_spread":0.2894575975338721,"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."}}