{"id":"W2474748733","doi":"10.1093/hmg/ddw212","title":"An enhanced Q175 knock-in mouse model of Huntington disease with higher mutant huntingtin levels and accelerated disease phenotypes","year":2016,"lang":"en","type":"article","venue":"Human Molecular Genetics","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Child and Family Research Institute","funders":"Canadian Institutes of Health Research; Killam Trusts; Michael Smith Health Research BC; Huntington Society of Canada; CHDI Foundation","keywords":"Huntingtin; Huntington's disease; Biology; Phenotype; Gene knockin; Mutant; Wild type; Allele; Polyglutamine tract; Neurodegeneration; Genetically modified mouse; Transgene; Molecular biology; Knockout mouse; Genetics; Gene; Disease; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003811109,0.001095172,0.0005278591,0.001172365,0.0003457268,0.0004005108,0.0006392009,0.001258334,0.004638629],"category_scores_gemma":[0.0001335388,0.0004580393,0.0005578221,0.0003945451,0.0005456518,0.0005089981,0.0003940659,0.001341615,0.001473234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004412178,"about_ca_system_score_gemma":0.0003921044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007899853,"about_ca_topic_score_gemma":0.001480892,"domain_scores_codex":[0.9996825,0.00003263918,0.00004869535,0.00008068104,0.00009995545,0.00005543837],"domain_scores_gemma":[0.9997072,0.00002837337,0.00009636146,0.00003108411,0.00003230769,0.0001046179],"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":[0.0001181123,0.0001041995,0.0001260998,0.00004417877,0.000008475846,0.0002420516,0.00003259431,0.00007630866,0.9979092,0.0003064726,0.000142716,0.0008895131],"study_design_scores_gemma":[0.0005867572,0.003771758,0.01466411,0.00006716797,0.0001649324,0.004738141,0.0001015964,0.001895602,0.9483404,0.0004079377,0.02519846,0.00006323129],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759098,0.001209685,0.01429626,0.0003990647,0.0001833392,0.0005603109,0.003366959,0.0006762529,0.00339842],"genre_scores_gemma":[0.9398628,0.002342195,0.02462628,0.0005217927,0.00009094426,0.0007667633,0.005095079,0.0002699626,0.02642411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004638629,"threshold_uncertainty_score":0.01551783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04168132667946262,"score_gpt":0.2798142615886203,"score_spread":0.2381329349091577,"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."}}