{"id":"W4296252016","doi":"10.3390/cancers14184502","title":"Epigenetic Dysregulations in Arsenic-Induced Carcinogenesis","year":2022,"lang":"en","type":"review","venue":"Cancers","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; National Institutes of Health; American Cancer Society","keywords":"Epigenetics; Arsenic; Carcinogenesis; Reprogramming; Arsenic toxicity; Biology; Disease; Arsenic poisoning; Medicine; Bioinformatics; Cancer research; Cancer; Genetics; Cell; Chemistry; Pathology; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002110858,0.0003150534,0.0006097149,0.0001928597,0.00009582769,0.00001797165,0.0002988445,0.0003029555,0.0002405251],"category_scores_gemma":[0.00006285533,0.0003344821,0.0003290841,0.0003795912,0.00003389477,0.000001493427,0.0001429342,0.0001974822,0.00001046106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007145809,"about_ca_system_score_gemma":0.001609035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001688368,"about_ca_topic_score_gemma":0.0003603617,"domain_scores_codex":[0.9982393,0.0002166355,0.0004717481,0.0005921541,0.0001724787,0.0003077187],"domain_scores_gemma":[0.9990311,0.00003549371,0.0002226873,0.0005971512,0.00002515084,0.00008838868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005162574,0.00001114877,0.00005380739,0.0008669216,0.00008348604,0.000006184912,0.00002766903,0.0009976684,0.001043678,0.00002214748,0.0001182348,0.9967639],"study_design_scores_gemma":[0.0001402727,0.00008565778,0.00006066999,0.000223408,0.0001443034,0.000002491719,0.00001815817,0.00001672491,0.0006040801,0.00002223614,0.9983181,0.000363866],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002396102,0.9947776,0.0000430509,0.000005098556,0.0004894528,0.0005377379,0.00006768337,0.000009199284,0.001674126],"genre_scores_gemma":[0.002257777,0.9956409,0.00008157498,0.00002173357,0.0002599844,0.0004057783,0.0007536362,0.00007874363,0.0004998451],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9981999,"threshold_uncertainty_score":0.9999107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07471670587974358,"score_gpt":0.3448889223757062,"score_spread":0.2701722164959626,"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."}}