{"id":"W1970100937","doi":"10.1016/j.gene.2012.02.001","title":"Bioinformatic selection of putative epigenetically regulated loci associated with obesity using gene expression data","year":2012,"lang":"en","type":"article","venue":"Gene","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Fonds Québécois de la Recherche sur la Nature et les Technologies; Newcastle University; Canadian Institutes of Health Research; Université Laval","keywords":"Biology; Epigenetics; Genetics; Candidate gene; Gene; DNA methylation; Promoter; DNA microarray; Computational biology; In silico; Phenotype; Bioinformatics; Gene expression","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004465328,0.000152588,0.0001756012,0.00005171188,0.00009454916,0.0000122046,0.0001814779,0.0001771036,0.00001559743],"category_scores_gemma":[0.0001419026,0.0001321285,0.00003418064,0.0001964201,0.00006891347,0.00001907948,0.0001700494,0.000065015,0.000002424194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002753438,"about_ca_system_score_gemma":0.00008302311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001883305,"about_ca_topic_score_gemma":0.000008720835,"domain_scores_codex":[0.9988538,0.0001159191,0.0003010211,0.0002365181,0.0002076466,0.0002850818],"domain_scores_gemma":[0.998985,0.00001673307,0.0002624455,0.0004296489,0.0002030458,0.0001031196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000485038,0.0001092692,0.02221394,0.00001235663,0.00007067746,2.200239e-7,0.00008844735,0.001297759,0.9754797,0.000002520112,0.00001906761,0.0006576031],"study_design_scores_gemma":[0.0003881306,0.0001903841,0.03088432,0.00001692284,0.00006248909,0.000003568513,0.00002566343,0.00419407,0.9639338,0.00002765033,0.0001048306,0.0001682033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9308634,0.0008800979,0.06781716,0.000007222864,0.00005578723,0.0001910589,0.00008081214,0.00001171817,0.00009274849],"genre_scores_gemma":[0.9678692,0.00008691406,0.03002764,0.00001650208,0.0001118669,0.000003365386,0.001819361,0.00002205938,0.00004304806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03778952,"threshold_uncertainty_score":0.5388042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03146989611860548,"score_gpt":0.280040253381788,"score_spread":0.2485703572631825,"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."}}