{"id":"W2109281377","doi":"10.4161/epi.23924","title":"A cell epigenotype specific model for the correction of brain cellular heterogeneity bias and its application to age, brain region and major depression","year":2013,"lang":"en","type":"article","venue":"Epigenetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":418,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Movement Disorders","funders":"National Institute of Mental Health","keywords":"DNA methylation; Epigenetics; Biology; In silico; Neuroscience; Cell type; Methylation; Computational biology; Cell; Genetics; DNA; Gene; Gene expression","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":[],"consensus_categories":[],"category_scores_codex":[0.000286885,0.0001664926,0.0001477231,0.00005066526,0.0001504949,0.00003375711,0.000127296,0.0001738164,0.000001871462],"category_scores_gemma":[0.0001154194,0.0001406926,0.00005479724,0.00008958897,0.00004968642,0.000005245362,0.0001099873,0.00005994668,0.000002880765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009666658,"about_ca_system_score_gemma":0.00002242529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003350529,"about_ca_topic_score_gemma":0.00006027736,"domain_scores_codex":[0.9989286,0.00007052326,0.0002799048,0.000406351,0.0001169167,0.0001976691],"domain_scores_gemma":[0.999093,0.0001165219,0.0001521082,0.0003670951,0.0001640206,0.000107254],"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":[0.00004478528,0.00003390446,0.001802641,0.00003297366,0.0000125221,1.309584e-7,0.0001456149,0.006869149,0.9690941,0.00001846588,0.001028173,0.02091752],"study_design_scores_gemma":[0.0003462614,0.0002255018,0.00781946,0.000009284479,0.00002222938,8.736848e-7,0.00002940061,0.08976419,0.8926458,0.0003586937,0.008605106,0.0001731455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6667145,0.007174863,0.3247798,0.0002962107,0.00008742286,0.0008942474,0.000009646775,0.000005682519,0.00003762906],"genre_scores_gemma":[0.9946368,0.001468274,0.002682485,0.0001676165,0.0001275658,0.0001496911,0.00006240819,0.00003332326,0.0006718282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3279223,"threshold_uncertainty_score":0.5737277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02854595827967309,"score_gpt":0.2623375255134813,"score_spread":0.2337915672338082,"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."}}