{"id":"W2103013707","doi":"10.3389/fgene.2013.00131","title":"Micronuclei in genotoxicity assessment: from genetics to epigenetics and beyond","year":2013,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":446,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Cancer Foundation; U.S. Department of Energy","keywords":"Micronucleus test; Micronucleus; Epigenetics; Genetics; Genotoxicity; Genome instability; Biology; Chromosome instability; Cytokinesis; DNA damage; Clastogen; Cell division; Gene; Chromosome; Cell; Cell biology; DNA; Chemistry; Toxicity","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001965231,0.0003526285,0.0003828738,0.000223274,0.00007061513,0.0001008182,0.0003825202,0.0003259986,0.00004512204],"category_scores_gemma":[0.00002276013,0.000404785,0.00007401025,0.0002656291,0.0001227356,0.000006513828,0.00044814,0.0002272541,0.00001247547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110205,"about_ca_system_score_gemma":0.0001204331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002548344,"about_ca_topic_score_gemma":0.0007432243,"domain_scores_codex":[0.9976833,0.0001183663,0.0005304248,0.0007966256,0.0002497687,0.0006214859],"domain_scores_gemma":[0.9988847,0.000016209,0.00009122777,0.000645835,0.00008570694,0.0002763559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002624078,0.0001508548,0.5221882,0.00001625022,0.00004714612,0.000008454582,0.0002767318,0.00138917,0.4411607,0.000009488767,0.004274922,0.0304519],"study_design_scores_gemma":[0.001451852,0.0004681414,0.829174,0.00002414775,0.00003155849,0.000004302649,0.0007756937,0.004741809,0.1395619,0.001233946,0.021725,0.0008075622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758905,0.005440247,0.01631191,0.0002988897,0.0004753527,0.0009663429,0.0001071987,0.000009901394,0.0004996507],"genre_scores_gemma":[0.8272732,0.00250498,0.1686447,0.001027794,0.0001681961,0.00009805468,0.0001039486,0.00005513998,0.0001239165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3069859,"threshold_uncertainty_score":0.9998404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005295992445973187,"score_gpt":0.2368724494399501,"score_spread":0.2315764569939769,"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."}}