{"id":"W4412954320","doi":"10.1038/s41588-025-02249-4","title":"Single-nucleus chromatin accessibility profiling identifies cell types and functional variants contributing to major depression","year":2025,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Nuclear Receptors and Signaling","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Government of Canada; Fonds de Recherche du Québec - Santé; Foundation for the National Institutes of Health","keywords":"Biology; Chromatin; Profiling (computer programming); Computational biology; Nucleus; Genetics; Evolutionary biology; Neuroscience; 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":[0.0002623035,0.0001305156,0.0001445605,0.00008296482,0.0003698642,0.000209389,0.0001632244,0.000204938,0.00006146327],"category_scores_gemma":[0.0006980767,0.0001154927,0.00003304271,0.0002831035,0.00004142551,0.00007679388,0.0003098419,0.0003316101,0.00001413024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003716578,"about_ca_system_score_gemma":0.00003847565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002428639,"about_ca_topic_score_gemma":0.000003207924,"domain_scores_codex":[0.998726,0.00007718126,0.000216951,0.0004664906,0.0002282951,0.0002851376],"domain_scores_gemma":[0.9993997,0.0001772488,0.00007486073,0.000193898,0.00008271844,0.0000715612],"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":[0.00004108886,0.00004379325,0.01271253,0.00005022516,0.000003338951,0.000002763709,0.00005360787,0.00005751069,0.9827462,0.00006761774,0.0003044878,0.003916802],"study_design_scores_gemma":[0.0003084018,0.00002547928,0.03853416,0.00006502224,0.00001813661,0.000002397798,0.00003579141,0.001225339,0.9579504,0.0007080897,0.001006004,0.0001207402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947895,0.0009155541,0.001257651,0.0001172552,0.0009852704,0.0002628392,0.00002155432,0.00006365932,0.001586761],"genre_scores_gemma":[0.9962201,0.00001350793,0.002522572,0.0006687446,0.000133348,0.000004516811,0.000003532963,0.00001421524,0.00041948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02582163,"threshold_uncertainty_score":0.4709654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565939827284158,"score_gpt":0.2723307282673508,"score_spread":0.2566713299945092,"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."}}