{"id":"W4388961674","doi":"10.1101/2023.11.23.568429","title":"Unveiling the Impact of Arsenic Toxicity on Immune Cells in Atherosclerotic Plaques: Insights from Single-Cell Multi-Omics Profiling","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Christie (Canada); McGill University; Jewish General Hospital","funders":"Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; Shandong University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Heart and Stroke Foundation of Canada","keywords":"Epigenome; Transcriptome; Immune system; Biology; Arsenic; Cell; Epigenetics; Cell biology; Gene expression profiling; Arsenic toxicity; Immunology; Apolipoprotein E; Genetics; Gene expression; Chemistry; Gene; Medicine; Pathology; Disease; DNA methylation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000436624,0.0003451369,0.0005609452,0.0007858318,0.0003169874,0.001003073,0.0002068772,0.0005469903,0.0009511703],"category_scores_gemma":[0.0002681833,0.0002301137,0.0004032506,0.0005955495,0.000369065,0.0005203037,0.0005564661,0.0008019464,0.0004264968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002752474,"about_ca_system_score_gemma":0.0003108078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006326998,"about_ca_topic_score_gemma":0.00110023,"domain_scores_codex":[0.9998252,0.00002065232,0.000009331698,0.00006687824,0.00005202089,0.00002609538],"domain_scores_gemma":[0.9998391,0.00004313191,0.00003866533,0.0000255267,0.00003110206,0.00002248283],"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":[0.00009983803,0.00002275139,0.007428512,0.0001623916,0.00005366017,0.00007892259,0.00007521637,0.0006819988,0.9830314,0.000471505,0.0004896423,0.007404164],"study_design_scores_gemma":[0.00002795668,0.0002831911,0.2059074,0.00009429146,0.0002629165,0.001025654,0.000831623,0.02167538,0.7348331,0.009901414,0.02507082,0.0000862809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9027176,0.008194157,0.0707464,0.00160884,0.0002123589,0.00006358307,0.01185158,0.0007890396,0.003816482],"genre_scores_gemma":[0.9429987,0.00445219,0.04317914,0.0007841141,0.0001194119,0.00007832523,0.004518558,0.0001798765,0.003689783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001003073,"threshold_uncertainty_score":0.003181994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02945696998224593,"score_gpt":0.233261193537743,"score_spread":0.2038042235554971,"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."}}