{"id":"W3155361674","doi":"10.1016/j.envadv.2021.100052","title":"Comparative profiling of epigenetic modifications among individuals living in different high and low air pollution zones: A pilot study from India","year":2021,"lang":"en","type":"article","venue":"Environmental Advances","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"Ministry of Education, India; Indian Council of Medical Research","keywords":"Epigenetics; Epigenomics; Biology; DNA methylation; Histone; Gene expression; Transcriptome; Genetics; Bioinformatics; Computational biology; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001716065,0.0001714337,0.0003115937,0.00003956128,0.0001499035,0.0000118512,0.0001102529,0.00003338656,0.0003352139],"category_scores_gemma":[0.00002791715,0.0001593368,0.00001888931,0.0001320844,0.0003224023,0.0003470509,0.000216488,0.0001444213,0.00002293442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001934758,"about_ca_system_score_gemma":0.000009448792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005708024,"about_ca_topic_score_gemma":0.0009485568,"domain_scores_codex":[0.9983476,0.0002810877,0.0004092341,0.000402455,0.0003161136,0.0002434956],"domain_scores_gemma":[0.9992973,0.0001908691,0.0001964893,0.000195899,0.000001246664,0.0001182044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000114413,0.001806554,0.9792731,0.00001483766,0.00001358696,0.000002256264,0.00673833,0.004539339,0.00656008,0.0000147517,0.000003705911,0.001021964],"study_design_scores_gemma":[0.0003934119,0.0004429067,0.9785743,0.00006415666,0.00001589654,5.775443e-7,0.009318355,0.0002494746,0.01018957,0.0005859399,0.00001011029,0.0001553218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981279,0.0006290146,0.0003489357,0.0001245662,0.00004551317,0.0005404509,0.0001012274,0.00001128819,0.00007110995],"genre_scores_gemma":[0.9978601,0.0002322559,0.001624478,0.0001265923,0.00001926763,0.00006566941,0.00003370024,0.000009050265,0.00002887094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004289865,"threshold_uncertainty_score":0.6497566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0328736742212906,"score_gpt":0.2880806473324886,"score_spread":0.255206973111198,"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."}}