{"id":"W4394252967","doi":"10.6084/m9.figshare.13290698","title":"Additional file 10 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); Genetics; Biology; Methylation; Association (psychology); Bioinformatics; Medicine; Psychology; 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":[0.002200178,0.001677535,0.002200259,0.00271729,0.0007653696,0.002122738,0.002740608,0.001869059,0.5434261],"category_scores_gemma":[0.02375525,0.000988815,0.002177728,0.005089305,0.0002939084,0.001488446,0.001476898,0.001422015,0.04575964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153415,"about_ca_system_score_gemma":0.002335143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01275017,"about_ca_topic_score_gemma":0.02416216,"domain_scores_codex":[0.9990208,0.0002312272,0.0001923761,0.0002871731,0.0001395414,0.0001288318],"domain_scores_gemma":[0.9880734,0.009076993,0.00088737,0.0007633203,0.0008156768,0.0003832126],"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":[0.000629787,0.00009414144,0.00785667,0.01523753,0.0009968071,0.0001446391,0.00009414396,0.001244197,0.0002423384,0.00109156,0.9654065,0.006961735],"study_design_scores_gemma":[0.0213701,0.0004873947,0.07196598,0.0104139,0.004424236,0.001166825,0.0004742189,0.003580359,0.001301849,0.01372804,0.8707939,0.0002931709],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001348661,0.00004695866,0.00009348085,0.00004453638,0.000007287253,0.00002427556,0.999449,0.00006902523,0.0001305236],"genre_scores_gemma":[0.006342864,0.0002547803,0.002132356,0.0003610682,0.00004139767,0.00166489,0.9862269,0.0003084506,0.002667323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5434261,"threshold_uncertainty_score":0.6512473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1285344271535375,"score_gpt":0.3648609094565742,"score_spread":0.2363264823030367,"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."}}