{"id":"W3092401693","doi":"10.1016/j.nicl.2020.102458","title":"Epigenetic clock as a correlate of anxiety","year":2020,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; Holland Bloorview Kids Rehabilitation Hospital; SickKids Foundation; Institute for Clinical Evaluative Sciences","funders":"Horizon 2020 Framework Programme; European Commission; Agentura Pro Zdravotnický Výzkum České Republiky; Central European Institute of Technology; University of Toronto; Ministerstvo Školství, Mládeže a Tělovýchovy; FP7 People: Marie-Curie Actions; Government of Ontario; Canadian Institutes of Health Research; Compute Canada; Canada Foundation for Innovation; Ontario Research Foundation; Heart and Stroke Foundation of Canada","keywords":"Epigenetics; Anxiety; DNA methylation; Neuroimaging; Psychology; Medicine; Clinical psychology; Biology; Neuroscience; Psychiatry; Genetics; Gene expression; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002613345,0.0001275673,0.0002180816,0.00001324237,0.00003043257,0.00001088653,0.0002057271,0.0001857883,0.00005231482],"category_scores_gemma":[0.001115806,0.000126803,0.0002129569,0.00009642729,0.000131979,0.000001981559,0.000155131,0.0001876796,0.00007237426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001619708,"about_ca_system_score_gemma":0.00007423396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004046342,"about_ca_topic_score_gemma":0.000001458294,"domain_scores_codex":[0.9985066,0.0001751916,0.0005424686,0.0004640549,0.0001437917,0.0001678871],"domain_scores_gemma":[0.9991343,0.00005460704,0.0001651835,0.0003584261,0.00009498879,0.0001925197],"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":[0.0003050439,0.000172864,0.08739191,0.00002969558,0.00004223455,0.00001278938,0.00004903039,0.0002050653,0.8869268,0.00008703717,0.001446057,0.02333149],"study_design_scores_gemma":[0.00221609,0.004488984,0.2036145,0.00001450137,0.00009557856,0.000008749461,0.00002702901,0.001804619,0.4994196,0.0004008241,0.2874459,0.0004635931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925074,0.001014344,0.002453096,0.0006398803,0.0002585668,0.0001599305,0.00001243726,0.0000142154,0.002940149],"genre_scores_gemma":[0.9948254,0.002282926,0.0009023289,0.00135539,0.0003765792,0.000003516903,0.00003298176,0.00002696878,0.0001938803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3875072,"threshold_uncertainty_score":0.5170878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04729663523146196,"score_gpt":0.3474665006861813,"score_spread":0.3001698654547194,"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."}}