{"id":"W2581592259","doi":"10.1038/srep41120","title":"Potential molecular consequences of transgene integration: The R6/2 mouse example","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Institute of Mental Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; CHDI Foundation; Canada Research Chairs; National Institutes of Health; University of Auckland; National Alliance for Research on Schizophrenia and Depression; Neurological Foundation of New Zealand","keywords":"Transgene; Biology; Genome; Gene; Genetics; Computational biology; Genetically modified mouse; Exon","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":[0.0004005131,0.0008757972,0.0004026825,0.0008015399,0.0002669076,0.0004739521,0.0005666237,0.001551404,0.002267407],"category_scores_gemma":[0.0002726826,0.0002659553,0.0004597488,0.000308536,0.0005499835,0.0003652752,0.0004042527,0.001446416,0.000956694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002124755,"about_ca_system_score_gemma":0.0001694277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003765032,"about_ca_topic_score_gemma":0.0006235781,"domain_scores_codex":[0.9997162,0.00005024228,0.00003197043,0.00008232196,0.00007811328,0.00004119191],"domain_scores_gemma":[0.9997727,0.00005081485,0.00006800258,0.00004112942,0.00001926284,0.00004796074],"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":[0.0000910676,0.00003763032,0.0002236688,0.00003746268,0.000008381683,0.0009205948,0.00002651705,0.00006256479,0.9958383,0.001012337,0.0001582523,0.001583137],"study_design_scores_gemma":[0.0001090648,0.0008923191,0.005902689,0.00005034984,0.0001014577,0.0146594,0.00008806924,0.00128266,0.9584447,0.001756927,0.01667281,0.00003947258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9384157,0.003058746,0.04053591,0.001722661,0.0002254695,0.0001453225,0.003269498,0.001398728,0.01122797],"genre_scores_gemma":[0.939464,0.004490028,0.03355512,0.0007821838,0.00006071109,0.0001751143,0.00244214,0.0004081716,0.01862251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002267407,"threshold_uncertainty_score":0.007585287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341934485268695,"score_gpt":0.2895271053353327,"score_spread":0.2761077604826457,"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."}}