{"id":"W2133890709","doi":"10.1093/hmg/dds397","title":"A fully humanized transgenic mouse model of Huntington disease","year":2012,"lang":"en","type":"article","venue":"Human Molecular Genetics","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"Canadian Institutes of Health Research; National Institute of Neurological Disorders and Stroke; Huntington Society of Canada; CHDI Foundation; Michael Smith Health Research BC; Pfizer","keywords":"Huntingtin; Biology; Huntington's disease; Gene silencing; Humanized mouse; Transgene; Genetics; Mutation; Allele; Loss of heterozygosity; Genetically modified mouse; Trinucleotide repeat expansion; Gene knockin; Gene; Disease; Mutant; Medicine; In vivo; Pathology","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":[0.0001102419,0.0003133524,0.0002700012,0.0001402343,0.0001778732,0.00003973274,0.0004960528,0.00006089933,0.0001054745],"category_scores_gemma":[0.0001562262,0.0003404702,0.0002486113,0.0001851868,0.0002347774,0.00007592265,0.0001329431,0.000133375,0.00003724888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002203257,"about_ca_system_score_gemma":0.00008470663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001942343,"about_ca_topic_score_gemma":0.000001558988,"domain_scores_codex":[0.9976228,0.0002451299,0.00043587,0.0005064044,0.0005873707,0.0006023613],"domain_scores_gemma":[0.9984661,0.00003237347,0.0001661923,0.000796451,0.00009020303,0.0004486577],"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":[0.00002915354,0.0003745542,0.0009473593,0.00004936791,0.000008968767,0.000001030662,0.0002674857,0.007061623,0.9865674,0.004561322,0.00004081723,0.0000908753],"study_design_scores_gemma":[0.0006031626,0.00007023405,0.002909982,0.000008868898,0.000111597,2.916904e-7,0.00001240044,0.00202442,0.9929,0.0009673334,0.00006175672,0.0003299317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901077,0.0002623359,0.008299554,0.00002810046,0.00008039318,0.0004478094,0.00008796348,0.00007745338,0.0006087127],"genre_scores_gemma":[0.9973718,0.00004568202,0.001368433,0.0005878942,0.00006228772,0.0000432478,0.00001197391,0.00009514117,0.0004135513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007264111,"threshold_uncertainty_score":0.9999048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04952742844396621,"score_gpt":0.2837237723406116,"score_spread":0.2341963438966454,"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."}}