{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008113503,0.0003845681,0.0003026676,0.0001730853,0.0001342631,0.00008207378,0.0004062921,0.00005345922,0.00006753208],"category_scores_gemma":[0.0001509441,0.0003028303,0.00006321443,0.0002257335,0.0003670296,0.0001295441,0.0001457573,0.00009668904,0.000005947254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002702389,"about_ca_system_score_gemma":0.0001584462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005377394,"about_ca_topic_score_gemma":0.00001349373,"domain_scores_codex":[0.9973198,0.0002677905,0.000424591,0.0009938985,0.0004975103,0.0004963913],"domain_scores_gemma":[0.9982911,0.00005263864,0.0002087753,0.0008023055,0.0001432196,0.0005019729],"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":[0.0001750876,0.0003255124,0.004783663,0.00004765753,0.000006686355,0.00001840206,0.0000871996,0.009051305,0.9840764,0.0009852779,0.000002153813,0.0004405956],"study_design_scores_gemma":[0.001214522,0.0001652625,0.05429941,0.00006834474,0.00005556256,1.798996e-7,0.000007379034,0.00276473,0.9398443,0.001159547,0.000005457473,0.0004153453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938903,0.0000917536,0.005028855,0.00007939634,0.00003014513,0.0005062298,0.0002099336,0.00006851015,0.00009484459],"genre_scores_gemma":[0.9983402,0.00003136386,0.0008032583,0.0003494814,0.00002876083,0.00005174573,0.000007282832,0.0001016879,0.0002862348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04951574,"threshold_uncertainty_score":0.9999424,"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."}}