{"id":"W4388424823","doi":"10.1101/2023.11.04.564839","title":"Transcriptomics and chromatin accessibility in multiple African population samples","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Public Health Agency of Canada","funders":"U.S. National Library of Medicine; National Institutes of Health; National Science Foundation","keywords":"Chromatin; Population; Transcriptome; Computer science; Geography; Biology; Computational biology; Genetics; Gene; Medicine; Environmental health; Gene expression","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":[0.0008550248,0.0002433523,0.0002460514,0.0006416735,0.0004568861,0.0003512532,0.0001847178,0.0003041461,0.001670338],"category_scores_gemma":[0.001412963,0.0001486059,0.0002263703,0.0009895288,0.0002991614,0.00009859118,0.0004194083,0.0002417239,0.0002044966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001336671,"about_ca_system_score_gemma":0.00009229853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002048576,"about_ca_topic_score_gemma":0.002615661,"domain_scores_codex":[0.9996468,0.0001167116,0.0000146284,0.0001438828,0.00004448254,0.00003345466],"domain_scores_gemma":[0.9997532,0.0001044516,0.00004752335,0.00004851597,0.0000288075,0.00001749177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001280993,0.00009139257,0.7634331,0.0001510786,0.0006910651,0.001469482,0.004190752,0.001901511,0.1839335,0.001944583,0.001444177,0.03946838],"study_design_scores_gemma":[0.0000605329,0.0001283476,0.9788753,0.00002564878,0.0001590173,0.001434312,0.0006292923,0.001969745,0.009363314,0.001432183,0.005904958,0.00001727273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994789,0.0002709005,0.002796206,0.00005911182,0.000004383729,0.00001201601,0.001661354,0.00001468772,0.0003922485],"genre_scores_gemma":[0.9937733,0.0003032637,0.002865927,0.00006113718,0.00001098576,0.00004703725,0.002310455,0.00002247687,0.0006053147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002048576,"threshold_uncertainty_score":0.005587816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03186508338809493,"score_gpt":0.2560015328324394,"score_spread":0.2241364494443444,"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."}}