{"id":"W4399292883","doi":"10.1002/em.22599","title":"<scp>Severity of effect considerations regarding the use of mutation as a toxicological endpoint for risk assessment: A report from the 8th International Workshop on Genotoxicity Testing</scp> ( <scp>IWGT</scp> )","year":2024,"lang":"en","type":"article","venue":"Environmental and Molecular Mutagenesis","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Genotoxicity; Germline mutation; Mutation; Risk assessment; Disease; Medicine; Genetics; Computational biology; Toxicology; Bioinformatics; Biology; Computer science; Internal medicine; Toxicity; Gene","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":[0.04191796,0.002286998,0.001781014,0.004639478,0.002494311,0.006231403,0.008777748,0.01605685,0.006907592],"category_scores_gemma":[0.02691302,0.001144531,0.004588807,0.003780532,0.004055434,0.00393335,0.005259507,0.01066643,0.006940009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006293819,"about_ca_system_score_gemma":0.01961248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03193133,"about_ca_topic_score_gemma":0.0409371,"domain_scores_codex":[0.964678,0.005880531,0.00366686,0.001698827,0.02242798,0.001647793],"domain_scores_gemma":[0.9521962,0.01254971,0.004112287,0.002844475,0.02657709,0.001720294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003105329,0.0005066721,0.002140051,0.00301887,0.0001377431,0.001362448,0.0008377776,0.003334581,0.03314404,0.01461884,0.795123,0.1454654],"study_design_scores_gemma":[0.00005778765,0.0004326384,0.00386956,0.002075569,0.000129426,0.000652907,0.0002692325,0.0009379016,0.02182223,0.005763289,0.9638126,0.0001768359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.02042628,0.1564423,0.1299913,0.3320712,0.05532859,0.01089582,0.02263925,0.005919546,0.2662856],"genre_scores_gemma":[0.08327487,0.146233,0.1681914,0.2562362,0.01615218,0.009348542,0.02854151,0.003363377,0.2886589],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04191796,"threshold_uncertainty_score":0.2216861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302851655302622,"score_gpt":0.2722613214700225,"score_spread":0.2492328049169962,"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."}}