{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001511434,0.0003063657,0.0004540696,0.0003443494,0.0001730344,0.00007305149,0.0004256797,0.0003531322,0.000003903284],"category_scores_gemma":[0.0002022112,0.0002720732,0.0001096463,0.0006241884,0.001303963,0.00000904075,0.000181568,0.0001486243,0.000004218709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001587419,"about_ca_system_score_gemma":0.0005832341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003610006,"about_ca_topic_score_gemma":0.000006185902,"domain_scores_codex":[0.9975627,0.0004091487,0.0004674381,0.000942322,0.0001950337,0.0004233783],"domain_scores_gemma":[0.999149,0.0000606684,0.0001463001,0.0003465587,0.0001160177,0.000181514],"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":[0.0002116149,0.0001019097,0.01262184,0.0008786068,0.0001032265,0.00002871111,0.00009655912,0.0001414767,0.06384534,0.002137467,0.000002739486,0.9198305],"study_design_scores_gemma":[0.001140094,0.001432178,0.01513945,0.00453095,0.000409384,0.0001063336,0.00001125178,0.0005190184,0.05227728,0.008028623,0.9137185,0.002686923],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0538681,0.9353958,0.00985372,0.00004621531,0.0001268673,0.0006017311,0.00005195955,0.000006724797,0.00004889453],"genre_scores_gemma":[0.04911904,0.916699,0.03365831,0.00007918118,0.0001265443,0.0001136533,0.0001524575,0.00004165821,0.00001013362],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9171436,"threshold_uncertainty_score":0.9999731,"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."}}