{"id":"W2963337597","doi":"10.1016/j.mrgentox.2019.05.018","title":"Corrigendum to “Identifying germ cell mutagens using OECD test guideline 488 (transgenic rodent somatic and germ cell Gene mutation assays) and integration with somatic cell testing.” [Mutat. Res. 832–833 (2018) 7–18]","year":2019,"lang":"en","type":"erratum","venue":"Mutation Research/Genetic Toxicology and Environmental Mutagenesis","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"","keywords":"Somatic cell; Biology; Germ cell; Gene; Genetics; Transgene; Guideline; Mutation; Rodent; Germline mutation; Medicine","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":[0.002687913,0.0009814342,0.001284797,0.001667268,0.001068027,0.0002826726,0.0004016093,0.0008229788,0.0006504865],"category_scores_gemma":[0.0006241915,0.0008582503,0.0001231664,0.0007552967,0.001377376,0.0002751316,0.0004172168,0.001476667,0.0001541602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008562131,"about_ca_system_score_gemma":0.001004312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006059156,"about_ca_topic_score_gemma":0.0002519636,"domain_scores_codex":[0.9916649,0.0008406776,0.001546064,0.002052844,0.002323033,0.001572488],"domain_scores_gemma":[0.9959434,0.00100333,0.0006785207,0.000904709,0.0002457856,0.001224261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005623059,0.001364918,0.02584393,0.003632907,0.0001896857,0.001645641,0.004666509,0.000818785,0.9325081,0.000001143687,0.0101327,0.01863335],"study_design_scores_gemma":[0.01692775,0.02255565,0.4562527,0.002382709,0.003579635,0.005118561,0.02475364,0.1243917,0.3360798,0.0002695725,0.003992575,0.003695713],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816919,0.005870178,0.00451068,0.0004106749,0.001715247,0.004345126,0.0002139655,0.0000805756,0.001161685],"genre_scores_gemma":[0.9495804,0.00282028,0.01414535,0.0005204901,0.0005597784,0.000265487,0.001020479,0.0002348539,0.03085291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5964283,"threshold_uncertainty_score":0.9993868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08111716790515784,"score_gpt":0.3348707363577776,"score_spread":0.2537535684526198,"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."}}