{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002120986,0.0003786702,0.0002252296,0.0002744351,0.00007947868,0.0001768541,0.0001753552,0.0002699822,0.0007738129],"category_scores_gemma":[0.00009801515,0.0001535533,0.0002329004,0.0001380813,0.0002093223,0.00009497927,0.0001444078,0.0004000631,0.0001479033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002133861,"about_ca_system_score_gemma":0.0001547988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001671714,"about_ca_topic_score_gemma":0.002512117,"domain_scores_codex":[0.999745,0.00005227097,0.0000211573,0.00006616661,0.00006834163,0.00004708919],"domain_scores_gemma":[0.9998086,0.00002330405,0.00009103463,0.00002357806,0.00002730945,0.00002616537],"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":[0.00004601283,0.00001152003,0.0002130213,0.000005708121,0.000003055867,0.000008715266,0.000004661299,0.00003695504,0.9993805,0.000009570122,0.000006662557,0.0002736484],"study_design_scores_gemma":[0.000004112515,0.0006246294,0.005224701,0.000001664037,0.00001129192,0.00007355894,0.000008702053,0.0003018779,0.993557,0.00000759543,0.0001829663,0.000001948231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956809,0.0003656509,0.002691026,0.00002403887,0.00000546815,0.00002397267,0.0003160599,0.00006422078,0.0008285862],"genre_scores_gemma":[0.9953768,0.0002996804,0.002176184,0.00003527576,0.00000257109,0.00002603493,0.000488074,0.00001552707,0.00157981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001671714,"threshold_uncertainty_score":0.003323972,"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."}}