{"id":"W2067738146","doi":"10.1016/j.gene.2014.02.034","title":"Genome wide DNA methylation profiling for epigenetic alteration in coronary artery disease patients","year":2014,"lang":"en","type":"article","venue":"Gene","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":105,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Technische Universität München; University Health Network","keywords":"DNA methylation; Biology; Epigenetics; Epigenome; Differentially methylated regions; CpG site; Coronary artery disease; Methylation; Bisulfite sequencing; Genetics; Disease; Bioinformatics; Gene; Internal medicine; Gene expression; Medicine","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":[0.0002780053,0.0001296358,0.0001093008,0.00006389777,0.0000671476,0.00002132414,0.00008265553,0.00008627956,0.00000442506],"category_scores_gemma":[0.0001780139,0.0001388458,0.00005977127,0.00005940817,0.00001852206,0.000006128687,0.00003537003,0.00003527808,0.000005405831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002240832,"about_ca_system_score_gemma":0.00003834955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001527193,"about_ca_topic_score_gemma":0.00001185527,"domain_scores_codex":[0.9989826,0.00008776206,0.0002720478,0.0003423703,0.0001086752,0.0002065589],"domain_scores_gemma":[0.999445,0.00002783306,0.00008909738,0.0002490508,0.000101218,0.00008782384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001154085,0.00007333251,0.1329957,0.000024358,0.00001158238,3.421814e-7,0.00002661615,0.004022823,0.8560935,0.00002032069,0.000005723708,0.006610332],"study_design_scores_gemma":[0.0008632879,0.0002726365,0.5082461,0.000005889354,0.00001653112,1.330327e-7,0.00000353239,0.002631549,0.4846306,0.001191282,0.001952494,0.0001859861],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.919976,0.0006344568,0.07853337,0.0000483301,0.0001636761,0.0005500354,0.00002707066,0.000007723905,0.0000593389],"genre_scores_gemma":[0.9934615,0.00009670454,0.003703492,0.000117069,0.0002318092,0.0001150052,0.002171935,0.00002602832,0.00007645889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3752504,"threshold_uncertainty_score":0.5661969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045907114161719,"score_gpt":0.2413134147521805,"score_spread":0.2308543436105634,"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."}}