{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002648596,0.0005353558,0.0006403856,0.00127033,0.0002194519,0.0006026984,0.0005100631,0.0007213998,0.003149213],"category_scores_gemma":[0.0003834327,0.00015804,0.000258304,0.001387994,0.000284652,0.0007701918,0.0005966975,0.0009627361,0.001555587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005022125,"about_ca_system_score_gemma":0.0007619333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008206544,"about_ca_topic_score_gemma":0.001580082,"domain_scores_codex":[0.9999189,0.00001442693,0.0000111803,0.00001637811,0.00002857448,0.00001042228],"domain_scores_gemma":[0.9998891,0.00004093803,0.00001707358,0.000003602078,0.00003610117,0.00001319209],"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":[0.00007409408,0.00004170619,0.0002893581,0.01509416,0.00008119658,0.0003999349,0.0001035175,0.0004895994,0.004937898,0.006196017,0.04040958,0.9318829],"study_design_scores_gemma":[0.000007232561,0.00005055103,0.001014537,0.001960677,0.00006718449,0.001803448,0.00005911136,0.00008528637,0.0008895226,0.002406363,0.9916414,0.00001479883],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001675584,0.9979487,0.0001612254,0.0002957151,0.0002035104,0.000002835729,0.00002373364,0.00001019516,0.001186536],"genre_scores_gemma":[0.0009816554,0.9979897,0.0001204944,0.0001302556,0.0001192081,0.00000337946,0.00003169655,0.000001359326,0.000622413],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003149213,"threshold_uncertainty_score":0.01053518,"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."}}