{"id":"W2906999853","doi":"10.1002/em.22271","title":"Integrated <i>In Vivo</i> Genotoxicity Assessment of Procarbazine Hydrochloride Demonstrates Induction of <i>Pig‐a</i> and <i>LacZ</i> Mutations, and Micronuclei, in MutaMouse Hematopoietic Cells","year":2018,"lang":"en","type":"article","venue":"Environmental and Molecular Mutagenesis","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Health Canada","keywords":"Genotoxicity; Micronucleus test; In vivo; Bone marrow; Biology; Micronucleus; Haematopoiesis; Mutagenesis; Molecular biology; Ethyl methanesulfonate; Mutant; Mutagen; Pharmacology; Carcinogen; Chemistry; Genetics; Immunology; Toxicity; Stem cell; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001752223,0.0002118596,0.0002746998,0.000103382,0.00004535337,0.00001241862,0.00006712129,0.0001336048,0.00001134738],"category_scores_gemma":[0.000004973826,0.0002161161,0.00004447495,0.0001007886,0.0004328915,0.00001134686,0.0001429004,0.00007834798,3.571859e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002854832,"about_ca_system_score_gemma":0.00003392849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001250819,"about_ca_topic_score_gemma":0.0001564365,"domain_scores_codex":[0.9987929,0.00007500486,0.0003727429,0.0004276037,0.0001349637,0.0001967933],"domain_scores_gemma":[0.9995902,0.00001082288,0.0001290504,0.0001806896,0.0000126108,0.00007662375],"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":[0.0000518841,0.0002003354,0.03094951,0.00006764488,0.00003221181,0.000009905776,0.0001426927,0.00003002223,0.9677894,0.00001370247,0.000006938668,0.0007057614],"study_design_scores_gemma":[0.0008373089,0.0003906335,0.03402841,0.00003183318,0.00003952626,0.00003926661,0.0005300245,0.0001950466,0.9635203,0.00003872815,0.0001514395,0.0001974524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977745,0.001138498,0.0004921744,0.00003156049,0.00002664954,0.0003906773,0.00008209433,0.000003608176,0.000060284],"genre_scores_gemma":[0.9969296,0.0008706796,0.001967067,0.0001006379,0.00001560383,0.00002773042,0.00004566532,0.00002218982,0.0000208616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004269064,"threshold_uncertainty_score":0.8812957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003754617406560884,"score_gpt":0.212185630294874,"score_spread":0.2084310128883131,"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."}}