{"id":"W2807084749","doi":"10.1016/bs.pmbts.2018.04.004","title":"Using Epigenetic Tools to Investigate Antidepressant Response","year":2018,"lang":"en","type":"review","venue":"Progress in molecular biology and translational science","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Douglas Mental Health University Institute; McGill University","funders":"","keywords":"Epigenetics; Antidepressant; Medicine; Bioinformatics; Major depressive disorder; Computational biology; Non-coding RNA; Biology; microRNA; Psychiatry; Mood; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.001091316,0.001030155,0.001371145,0.001539626,0.000206813,0.0008211436,0.00108336,0.001354213,0.001513655],"category_scores_gemma":[0.0009898018,0.0003014992,0.0004586212,0.001132392,0.0009372516,0.001131239,0.0008701145,0.002520329,0.001109752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006335377,"about_ca_system_score_gemma":0.0008281363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006747488,"about_ca_topic_score_gemma":0.00159755,"domain_scores_codex":[0.9998013,0.00003494502,0.00002629149,0.00004868833,0.00006935195,0.0000192916],"domain_scores_gemma":[0.9995976,0.0002326267,0.00004555484,0.00002179642,0.00007689452,0.00002563836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001033569,0.0000527768,0.0003423391,0.008590696,0.0001184702,0.0002743452,0.00004177705,0.0002722466,0.008999027,0.007688032,0.02025171,0.9532652],"study_design_scores_gemma":[0.00005702044,0.00013641,0.001844383,0.002748175,0.0002950185,0.001732208,0.00007358376,0.0002324013,0.005429365,0.009501533,0.9778975,0.00005249319],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000109738,0.9978238,0.0005127351,0.0005076433,0.0003290952,0.000004510186,0.00001805184,0.000009064607,0.0006853355],"genre_scores_gemma":[0.001493049,0.9959545,0.0006609535,0.0005296353,0.0005284618,0.0000152288,0.00003747259,0.00000273483,0.0007779669],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001539626,"threshold_uncertainty_score":0.005771518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07462069976157192,"score_gpt":0.4221283955320995,"score_spread":0.3475076957705275,"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."}}