{"id":"W4394251098","doi":"10.6084/m9.figshare.13290731","title":"Additional file 4 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; Methylation; Index (typography); Biology; Genetics; Computational biology; Bioinformatics; DNA; Computer science; World Wide Web; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006533085,0.0002710823,0.0007244188,0.0002426446,0.0002069625,0.00005625455,0.0002239782,0.0004282013,0.002613302],"category_scores_gemma":[0.005135528,0.0002244392,0.0002043388,0.0002531171,0.000199873,0.00001101311,0.0003446967,0.000333151,0.000007025219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005175954,"about_ca_system_score_gemma":0.0002458825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001848434,"about_ca_topic_score_gemma":0.000005871396,"domain_scores_codex":[0.9968632,0.0006881904,0.00063894,0.0006621474,0.0008749145,0.0002726014],"domain_scores_gemma":[0.9960099,0.001854981,0.0006239266,0.0003942245,0.0009462912,0.000170629],"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":[0.0000698472,0.00004213177,0.0003866655,0.0002757385,0.002021567,0.000003634055,0.0000243306,0.000009299077,0.1827782,8.250994e-7,0.8142839,0.000103866],"study_design_scores_gemma":[0.0001235806,0.0003529779,0.005749637,0.00009994538,0.0003916862,2.014748e-7,0.0001436473,0.00001216654,0.4141363,0.0001236665,0.5786886,0.0001776592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005196335,0.006685268,0.00002790128,0.0001247549,0.00006829293,0.0004461506,0.9873983,0.000004324112,0.00004868151],"genre_scores_gemma":[0.00739551,0.003023006,0.0009109005,0.00003792396,0.000420013,0.0003007005,0.9869791,0.000023217,0.0009096501],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2355953,"threshold_uncertainty_score":0.9982985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08430741656624596,"score_gpt":0.3735644156934266,"score_spread":0.2892569991271806,"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."}}