{"id":"W4309541586","doi":"10.1177/01622439221137028","title":"Epigenomic Stories: Evidence of Harm and the Social Justice Promises and Perils of Environmental Epigenetics","year":2022,"lang":"en","type":"article","venue":"Science Technology & Human Values","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Human Genome Research Institute","keywords":"Sociology; Epigenomics; Harm; Environmental ethics; Scholarship; Privilege (computing); Economic Justice; Political science; Biology; Genetics; Law","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0008531483,0.0001049331,0.0001779827,0.00007875491,0.001480873,0.00001299026,0.0004380154,0.00007726484,0.00001301287],"category_scores_gemma":[0.000118894,0.00009016805,0.00004469263,0.0001698955,0.01278236,0.000006595265,0.0007795313,0.0001200419,1.711055e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002600247,"about_ca_system_score_gemma":0.0001011309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005767777,"about_ca_topic_score_gemma":0.000002765292,"domain_scores_codex":[0.9989391,0.00006734495,0.0002132948,0.0003603558,0.0002171718,0.0002027419],"domain_scores_gemma":[0.9994346,0.00002655078,0.0001719061,0.0003028037,0.00003693063,0.00002715924],"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":[0.00003719966,0.00003513172,0.002854985,0.00002829383,0.00001875354,3.320556e-7,0.004717809,0.00001701861,0.9895785,0.001620722,0.00004112244,0.001050067],"study_design_scores_gemma":[0.001369715,0.001618486,0.0231902,0.00002009918,0.0002102071,0.00003412701,0.07215732,0.0001073486,0.8920072,0.00673684,0.002193158,0.0003553298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885749,0.01067115,0.00003060321,0.0003138431,0.00007809167,0.0002230824,0.00001982522,0.000008371675,0.00008014955],"genre_scores_gemma":[0.9974601,0.001837256,0.0004098417,0.00004841353,0.00004299182,0.00002684231,0.000001602252,0.000007930901,0.0001650243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0975714,"threshold_uncertainty_score":0.999819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623622021962111,"score_gpt":0.2958480499277172,"score_spread":0.2796118297080961,"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."}}