{"id":"W4287833015","doi":"10.1021/acs.est.2c02896","title":"Rethinking Subthreshold Effects in Regulatory Chemical Risk Assessments","year":2022,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Air Force Office of Scientific Research; Nanjing University of Information Science and Technology; Government of Jiangsu Province; ExxonMobil Foundation; National Natural Science Foundation of China","keywords":"Library science; Geography; Forestry; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008873939,0.0005660561,0.0006447192,0.001211092,0.0007007529,0.002837562,0.001821764,0.001494155,0.003346132],"category_scores_gemma":[0.0128098,0.0002871929,0.0007196773,0.0006522158,0.001431553,0.00309919,0.002037329,0.003052484,0.001115982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001876553,"about_ca_system_score_gemma":0.003738385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00695389,"about_ca_topic_score_gemma":0.01867468,"domain_scores_codex":[0.9967239,0.0009417233,0.0001621126,0.0003598081,0.001633129,0.0001793345],"domain_scores_gemma":[0.9900181,0.004490641,0.0007477457,0.001013279,0.003420559,0.0003097522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001036719,0.0005605613,0.02576544,0.00259382,0.0004177223,0.0005705821,0.001293553,0.0287437,0.4376059,0.04720243,0.01092072,0.443289],"study_design_scores_gemma":[0.0001107416,0.003892434,0.04708904,0.001783104,0.00108675,0.001281546,0.002913747,0.04320464,0.4865659,0.2015861,0.2100804,0.0004056377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3402309,0.04628045,0.5164866,0.02050115,0.002750962,0.0009118778,0.004141099,0.002738533,0.06595837],"genre_scores_gemma":[0.8455775,0.01369703,0.1223099,0.005653108,0.0002519526,0.0002394942,0.0008097698,0.0004216636,0.0110395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008873939,"threshold_uncertainty_score":0.04693043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004852031595242797,"score_gpt":0.232428208033853,"score_spread":0.2275761764386102,"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."}}