{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002127109,0.001585302,0.001978393,0.002300379,0.0007777584,0.001971274,0.002661839,0.001863931,0.5297903],"category_scores_gemma":[0.02130034,0.0008947806,0.002013098,0.004347506,0.0002942774,0.001250203,0.001285473,0.001380845,0.05195275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065505,"about_ca_system_score_gemma":0.002136976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01325697,"about_ca_topic_score_gemma":0.02418423,"domain_scores_codex":[0.9990397,0.0002328645,0.0001634814,0.0002984109,0.0001327872,0.0001327117],"domain_scores_gemma":[0.9892592,0.008089041,0.0007327572,0.0008025254,0.0007470207,0.0003694339],"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":[0.0005965894,0.00009973547,0.01029519,0.008949609,0.0007633267,0.0001354464,0.00009661504,0.001304561,0.0002468721,0.001069236,0.9696564,0.006786343],"study_design_scores_gemma":[0.01560517,0.0004434783,0.07697561,0.006104062,0.003390402,0.001201111,0.000422692,0.003780508,0.001427248,0.01391561,0.8764839,0.0002502548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001411333,0.00003430115,0.0001118525,0.00003845813,0.00000720805,0.00001963613,0.9994375,0.00007587744,0.0001340264],"genre_scores_gemma":[0.005802965,0.0001615223,0.00198608,0.0002986476,0.00003731517,0.00112123,0.9878947,0.0003030661,0.002394392],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5297903,"threshold_uncertainty_score":0.670697,"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."}}