{"id":"W4394371333","doi":"10.6084/m9.figshare.13290722","title":"Additional file 1 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); Methylation; Association (psychology); Genetics; Body mass index; Biology; Computational biology; Bioinformatics; DNA; Psychology; Computer science; World Wide Web; Gene; 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":[0.002982951,0.001717965,0.002234391,0.003225837,0.0007942236,0.001891924,0.002457392,0.001688846,0.5963833],"category_scores_gemma":[0.03455837,0.0009806256,0.00252871,0.006218059,0.000328458,0.001572452,0.00150454,0.001313339,0.03871049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00118022,"about_ca_system_score_gemma":0.002712406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009581456,"about_ca_topic_score_gemma":0.0179938,"domain_scores_codex":[0.9986204,0.0003645472,0.0003142,0.0003720889,0.0001729532,0.000155894],"domain_scores_gemma":[0.9759009,0.01956333,0.001722278,0.001191,0.00120402,0.0004185465],"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":[0.001009841,0.0001374618,0.01100685,0.02684808,0.001609501,0.0001615144,0.0001600263,0.001657734,0.0002536621,0.001915092,0.9455224,0.009717905],"study_design_scores_gemma":[0.02784276,0.0008271289,0.08775242,0.01677138,0.007794845,0.001714557,0.0006126036,0.004379005,0.001378593,0.01909194,0.8315094,0.0003254486],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001883556,0.00007013335,0.0001619387,0.00004302238,0.000007927283,0.0000496385,0.9992669,0.00006143728,0.0001507122],"genre_scores_gemma":[0.01114951,0.0004583138,0.003850808,0.0004948496,0.00007503732,0.004126906,0.9758289,0.0003761977,0.003639451],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5963833,"threshold_uncertainty_score":0.5757103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08496452233232199,"score_gpt":0.3735900253786695,"score_spread":0.2886255030463475,"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."}}