{"id":"W4297477306","doi":"10.3390/ijms231911456","title":"Single-Cell Chromatin Accessibility Data Combined with GWAS Improves Detection of Relevant Cell Types in 59 Complex Phenotypes","year":2022,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Children’s Health Research Institute; Western University","funders":"Schulich School of Medicine and Dentistry; Natural Sciences and Engineering Research Council of Canada; Compute Canada; Government of Canada; Ontario Institute for Cancer Research; Mitacs; Children's Health Research Institute","keywords":"Genome-wide association study; Phenotype; Chromatin; Computational biology; Cell; Biology; Cell type; Genetics; Single-nucleotide polymorphism; DNA; Gene; Genotype","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":[0.0005877353,0.000095154,0.000144572,0.0001257148,0.00006678645,0.00004275893,0.001135841,0.00003039556,0.00001998884],"category_scores_gemma":[0.00004503619,0.00007824248,0.00005297647,0.0001651837,0.0001688908,0.0000277392,0.0002414429,0.0001231296,2.816444e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003451767,"about_ca_system_score_gemma":0.0001799708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007862884,"about_ca_topic_score_gemma":0.00009692938,"domain_scores_codex":[0.9986219,0.0001113654,0.0003747229,0.0002367313,0.0005396192,0.000115641],"domain_scores_gemma":[0.999172,0.00002465169,0.0003887893,0.0001915327,0.0001883211,0.00003466598],"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":[0.0004168007,0.0003779128,0.001360898,0.00001082263,0.00002718662,0.0000161437,0.00007851364,0.002260722,0.9929484,0.000009602899,0.00001225211,0.002480774],"study_design_scores_gemma":[0.001180474,0.002066795,0.002781772,0.00001760215,0.00001769931,0.00004066051,0.0002677742,0.001559244,0.9911793,0.0002452661,0.0005236966,0.0001197066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931857,0.0004898053,0.005421036,0.0001394712,0.0002985531,0.0000768719,0.00002618898,0.000002430345,0.0003599516],"genre_scores_gemma":[0.9969789,0.00002750615,0.002800316,0.00009572648,0.00004460819,0.000001675311,0.00002756784,0.000007654518,0.00001607999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003793174,"threshold_uncertainty_score":0.3190636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02807522791308115,"score_gpt":0.2676874748030367,"score_spread":0.2396122468899555,"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."}}