{"id":"W4394201320","doi":"10.6084/m9.figshare.13290728","title":"Additional file 3 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 (University of Western Australia)","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; Index (typography); Biology; Genetics; Methylation; Computational biology; Bioinformatics; Medicine; Computer science; DNA; World Wide Web; Gene; Internal medicine","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":[0.002709484,0.001792786,0.002334911,0.002777497,0.0008432331,0.002240834,0.002778259,0.001945413,0.6478115],"category_scores_gemma":[0.03057612,0.001073712,0.002678212,0.005221099,0.0003548228,0.001653304,0.00151248,0.001501415,0.04973499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223168,"about_ca_system_score_gemma":0.002667354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.012565,"about_ca_topic_score_gemma":0.02307393,"domain_scores_codex":[0.9988014,0.000296687,0.0002367663,0.0003499145,0.0001701301,0.0001450587],"domain_scores_gemma":[0.9818771,0.01471882,0.001143026,0.0009156853,0.0009605057,0.0003849244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0008584494,0.0001208659,0.009092503,0.02320256,0.00136205,0.0001705213,0.0001324786,0.001752931,0.0002721804,0.001580658,0.9532544,0.008200428],"study_design_scores_gemma":[0.02672015,0.0006539725,0.05996487,0.01196768,0.005768789,0.001467537,0.0004752579,0.004517944,0.001298974,0.01706114,0.8698041,0.0002995839],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001305977,0.00005369364,0.000128794,0.00004517609,0.000008171565,0.00003700883,0.9993826,0.00007147982,0.000142389],"genre_scores_gemma":[0.008707536,0.0003493012,0.003072185,0.0005128264,0.00006454236,0.002883715,0.9803991,0.0004415046,0.00356937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6478115,"threshold_uncertainty_score":0.5023541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.12855461523004,"score_gpt":0.3637505634685408,"score_spread":0.2351959482385008,"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."}}