{"id":"W3093149853","doi":"10.1002/em.22412","title":"Heritable hazards of smoking: Applying the “clean sheet” framework to further science and policy","year":2020,"lang":"en","type":"article","venue":"Environmental and Molecular Mutagenesis","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Health Canada","funders":"National Institutes of Health; National Institute of Environmental Health Sciences; Silicon Valley Community Foundation","keywords":"Hazard; Germ cell; Regulatory science; Mutagenesis; Biology; Tobacco smoke; Environmental health; Human health; Biotechnology; Risk analysis (engineering); Political science; Environmental planning; Genetics; Business; Medicine; Gene; Mutation; Ecology; Environmental science","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":[0.00015926,0.0001324929,0.0001170366,0.00003079238,0.0001514567,0.00003422158,0.0001677096,0.000057293,0.00001694931],"category_scores_gemma":[0.00003718375,0.0001093921,0.00004359483,0.000133027,0.0003114692,0.000004433231,0.0004591836,0.00005373697,0.000002312953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001934242,"about_ca_system_score_gemma":0.00004470309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003433575,"about_ca_topic_score_gemma":0.000002221115,"domain_scores_codex":[0.9990216,0.00002678924,0.0001214142,0.0003663883,0.0002534124,0.0002103822],"domain_scores_gemma":[0.9995493,0.000005653709,0.00003791819,0.0002246199,0.000008881695,0.0001736238],"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":[0.00002218813,0.00002162916,0.002284675,0.00001153059,0.00002753476,0.000003517515,0.0003557888,0.00007997679,0.9773514,0.0001118073,0.00002526394,0.01970465],"study_design_scores_gemma":[0.0001987109,0.0002696614,0.01940201,0.000007555006,0.00003043739,0.00001247042,0.001255793,0.00007994353,0.9669585,0.00004941382,0.01154586,0.0001896434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940177,0.0009718807,0.002924292,0.001555704,0.00001856962,0.000331488,0.00002482731,0.000004267893,0.000151289],"genre_scores_gemma":[0.9949955,0.0001749624,0.001163293,0.003506108,0.00006983578,0.00004449437,0.000005662966,0.000018397,0.00002170138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01951501,"threshold_uncertainty_score":0.4460879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006818210477466603,"score_gpt":0.2317678241572609,"score_spread":0.2249496136797943,"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."}}