{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004924632,0.00008576724,0.00008655671,0.00002273868,0.0003112492,0.0001496519,0.0002584572,0.0000528878,0.00002494697],"category_scores_gemma":[0.00009030319,0.00006221794,0.00009232391,0.00003328903,0.0005214577,0.000004770383,0.00006256456,0.00004304442,0.000001280541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002872971,"about_ca_system_score_gemma":0.00007074012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008195383,"about_ca_topic_score_gemma":0.00004573304,"domain_scores_codex":[0.9990982,0.00001856236,0.0002262242,0.0003297749,0.0001896655,0.0001375494],"domain_scores_gemma":[0.9985462,0.00000248898,0.0001576925,0.001144212,0.0001072787,0.0000420593],"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":[0.000004132864,0.00001120308,0.0001998713,0.000005767445,0.00001541442,0.00002478888,0.00005590459,0.0005757276,0.9972202,0.00005602467,0.0006233455,0.001207668],"study_design_scores_gemma":[0.00006130889,0.00002655843,0.0004414731,0.000005886008,0.00001357812,0.0000924546,0.00005500925,0.00005506064,0.9901112,0.000499087,0.008561026,0.00007738223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673784,0.0004539705,0.02950325,0.0001759501,0.001639979,0.0001431461,0.000004195947,0.000006666635,0.0006944094],"genre_scores_gemma":[0.9977276,0.00001582191,0.0006029259,0.00001306235,0.00005988436,0.000009384507,0.00003468121,0.000008005154,0.001528677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03034913,"threshold_uncertainty_score":0.2537174,"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."}}