{"id":"W1986783996","doi":"10.1016/j.mrfmmm.2009.07.008","title":"A genetic approach to quantifying human in vivo mutation frequency uncovers transcription level effects","year":2009,"lang":"en","type":"article","venue":"Mutation research. Fundamental and molecular mechanisms of mutagenesis","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research; Arthritis Society","keywords":"Mutant; Somatic cell; Biology; Genetics; Mutation; Germline mutation; Mutation frequency; Mutation rate; Gene; Suppressor mutation; Germline","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003861219,0.0003284283,0.0003083392,0.0008475237,0.0002644579,0.0003252798,0.0003725404,0.0005082563,0.001183204],"category_scores_gemma":[0.0005766222,0.0003096945,0.0002774748,0.0004663299,0.0005972682,0.0001667092,0.0003172213,0.001052789,0.0002989689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003648691,"about_ca_system_score_gemma":0.0002262839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007638228,"about_ca_topic_score_gemma":0.001471141,"domain_scores_codex":[0.9996327,0.0001057435,0.00001936819,0.0001284217,0.00008413728,0.00002953356],"domain_scores_gemma":[0.9996006,0.000203081,0.00007008975,0.00006879299,0.00002732682,0.00003016933],"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":[0.0000223594,0.00001529599,0.0002608205,0.00001614707,0.000006838462,0.00001104747,0.000011344,0.0001164906,0.9970257,0.0003101568,0.00002798987,0.002175822],"study_design_scores_gemma":[0.00000587618,0.0001462532,0.003909931,0.000005529449,0.00002381224,0.0004236989,0.00001403623,0.001704487,0.9921089,0.0004612082,0.001185619,0.00001065449],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7920138,0.003353018,0.1983702,0.0004650239,0.0001052524,0.0001268856,0.00179519,0.0009445606,0.002826117],"genre_scores_gemma":[0.9426801,0.001811057,0.05245669,0.0001400277,0.00001513393,0.0000866015,0.000690833,0.0001122173,0.002007247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001183204,"threshold_uncertainty_score":0.003958225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05992309702190277,"score_gpt":0.3397738486336049,"score_spread":0.2798507516117021,"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."}}