{"id":"W4394518490","doi":"10.6084/m9.figshare.13290740","title":"Additional file 7 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); Biology; Genetics; Methylation; Meta-analysis; Computational biology; Bioinformatics; Medicine; DNA; 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":[0.002371409,0.001762343,0.002289507,0.002653378,0.0008037492,0.002169044,0.002799199,0.001876421,0.6088262],"category_scores_gemma":[0.02488014,0.001044136,0.002426429,0.005150118,0.0003250662,0.001499651,0.001474342,0.0014575,0.05363318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216121,"about_ca_system_score_gemma":0.002440619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01304393,"about_ca_topic_score_gemma":0.02491755,"domain_scores_codex":[0.9988672,0.0002696231,0.000221551,0.0003215391,0.0001720362,0.0001480081],"domain_scores_gemma":[0.9859999,0.01082811,0.000986121,0.0008703065,0.0009199687,0.0003955906],"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":[0.0005766551,0.0000925815,0.007244517,0.01508825,0.0009359089,0.0001307289,0.00009142543,0.001235954,0.0002139523,0.001115598,0.9665444,0.00673014],"study_design_scores_gemma":[0.0200247,0.0004977177,0.05983255,0.01022139,0.003989239,0.001255029,0.0004048928,0.003485534,0.001208709,0.01431664,0.8844853,0.0002783378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001095147,0.00005109025,0.000101132,0.0000410164,0.000007520068,0.00003062351,0.9994472,0.00006852982,0.0001433559],"genre_scores_gemma":[0.006317907,0.0002925744,0.002272216,0.0004051273,0.00005049053,0.001985931,0.9854956,0.0003428886,0.002837367],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6088262,"threshold_uncertainty_score":0.557962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08389792925682969,"score_gpt":0.373324501759045,"score_spread":0.2894265725022153,"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."}}