{"id":"W2905343669","doi":"10.1002/em.22248","title":"Understanding the importance of low‐molecular weight (ethylene oxide‐ and propylene oxide‐induced) DNA adducts and mutations in risk assessment: Insights from 15 years of research and collaborative discussions","year":2018,"lang":"en","type":"review","venue":"Environmental and Molecular Mutagenesis","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"European Chemical Industry Council","keywords":"Mutagenesis; Adduct; DNA adduct; Computational biology; Mutagen; Risk assessment; DNA damage; Chemistry; Toxicology; Mutation; DNA; Genetics; Biology; Gene; Computer science; Organic chemistry; Computer security","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003507277,0.0003556393,0.000683679,0.0001763556,0.0001886513,0.00004095945,0.0001552228,0.0002916997,0.000007321913],"category_scores_gemma":[0.00003608162,0.0002700509,0.00009965442,0.000219652,0.0009482919,0.00001414064,0.0005471394,0.0002493328,5.240827e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007835202,"about_ca_system_score_gemma":0.0001251048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006422486,"about_ca_topic_score_gemma":0.0001192375,"domain_scores_codex":[0.9975653,0.0005180395,0.0005198374,0.0007852561,0.0003488955,0.0002626292],"domain_scores_gemma":[0.9989314,0.0001061569,0.0003486139,0.0004464468,0.00002798724,0.0001393751],"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":[0.00005230603,0.0002949771,0.002995287,0.001190974,0.0007468863,0.0001046353,0.0006487545,0.000003459461,0.981168,0.000455901,0.00001740648,0.01232146],"study_design_scores_gemma":[0.007545113,0.004751651,0.1491247,0.01030541,0.005150603,0.0002634859,0.01832292,0.0001213529,0.7477542,0.01122676,0.04064596,0.004787775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5779489,0.4209342,0.0001191455,0.00002057408,0.00001496253,0.0006115168,0.0003306826,0.000001637541,0.00001837835],"genre_scores_gemma":[0.518344,0.4809563,0.0003855218,0.00001215565,0.00001503795,0.00006101841,0.0001843918,0.00002999806,0.00001163453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2334137,"threshold_uncertainty_score":0.9999751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03651003560972554,"score_gpt":0.3165829674747882,"score_spread":0.2800729318650627,"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."}}