{"id":"W4394136945","doi":"10.6084/m9.figshare.13290746","title":"Additional file 9 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; Index (typography); Genetics; Biology; Methylation; Meta-analysis; Computational biology; Bioinformatics; DNA; Medicine; Computer science; World Wide Web; Internal medicine; Gene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002424272,0.001605533,0.002202627,0.002793343,0.0007525571,0.002186316,0.00250519,0.001756551,0.5174841],"category_scores_gemma":[0.02772156,0.001000036,0.002533064,0.00523364,0.0002846181,0.001471314,0.001547393,0.00135626,0.03973405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121144,"about_ca_system_score_gemma":0.002398334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01092214,"about_ca_topic_score_gemma":0.02213107,"domain_scores_codex":[0.9987046,0.0003154352,0.0003023368,0.0003439681,0.0001818428,0.0001519571],"domain_scores_gemma":[0.9841224,0.01219993,0.001277498,0.0009713179,0.001020903,0.0004080131],"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":[0.0007996018,0.0001035329,0.009408686,0.02362746,0.001547179,0.0001574101,0.0001226083,0.001224661,0.0003219804,0.001271596,0.9539065,0.00750877],"study_design_scores_gemma":[0.02259634,0.0004675305,0.069043,0.01293625,0.00553138,0.001054141,0.0004375817,0.002787912,0.00136528,0.01178078,0.8717284,0.0002714665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001472944,0.00006496088,0.000107569,0.00004671252,0.000007082638,0.00004040196,0.9993635,0.00007755131,0.0001450647],"genre_scores_gemma":[0.007242405,0.0003224166,0.002740539,0.0004511527,0.0000451891,0.002920792,0.9830041,0.0003470506,0.002926298],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5174841,"threshold_uncertainty_score":0.6882503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08385695690459882,"score_gpt":0.3733047883262793,"score_spread":0.2894478314216805,"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."}}