{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003974065,0.0007091055,0.0007289065,0.0001993169,0.00011855,0.0001089131,0.000863608,0.0008947766,0.000005234046],"category_scores_gemma":[0.0001567232,0.000600205,0.0004877769,0.0003447862,0.0001812614,0.00001020017,0.0003923942,0.0009194346,0.00002468471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002473459,"about_ca_system_score_gemma":0.0005382565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006974975,"about_ca_topic_score_gemma":0.00004040467,"domain_scores_codex":[0.9968735,0.0002636771,0.0009053036,0.001120121,0.0002804468,0.0005569392],"domain_scores_gemma":[0.9974107,0.0001163889,0.0005736988,0.001529008,0.000223767,0.0001464047],"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":[0.0001640536,0.0006807531,0.004568818,0.000135327,0.0001775251,0.00001143146,0.00004591342,0.008134431,0.9860615,0.000006315619,0.00001285879,0.000001120392],"study_design_scores_gemma":[0.001067933,0.0002861579,0.01805785,0.0003733393,0.0000588825,5.682939e-9,0.00001531045,0.004701717,0.9748024,0.00000251103,0.00002553049,0.0006083565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951259,0.00106214,0.001205957,0.00001620911,0.0009464614,0.0009940774,0.0005527444,0.00009169097,0.000004766294],"genre_scores_gemma":[0.99628,0.000503306,0.002532996,0.00005562885,0.0003267121,0.00007294586,0.00001011834,0.0002110493,0.000007262772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01348903,"threshold_uncertainty_score":0.9996449,"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."}}