{"id":"W2018623984","doi":"10.1016/j.expneurol.2010.12.017","title":"Longitudinal behavioral, cross-sectional transcriptional and histopathological characterization of a knock-in mouse model of Huntington's disease with 140 CAG repeats","year":2010,"lang":"en","type":"article","venue":"Experimental Neurology","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"National Institute of Neurological Disorders and Stroke; National Institute on Aging; National Institutes of Health","keywords":"Huntingtin; Huntingtin Protein; Genetically modified mouse; Huntington's disease; Exon; Transgene; Polyglutamine tract; Biology; Trinucleotide repeat expansion; Gene knockin; Knockout mouse; Heterozygote advantage; Neurodegeneration; Gene; Molecular biology; Genetics; Allele; Internal medicine; Disease; Medicine; Mutant","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00005417152,0.0001697661,0.0002090574,0.0001178551,0.00007312958,0.00001562002,0.0001413168,0.00007040655,0.00007653331],"category_scores_gemma":[0.00004757374,0.0001586846,0.0000529112,0.00008695346,0.0007523831,0.0001432333,0.00006302922,0.0001993368,0.000001013467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008282175,"about_ca_system_score_gemma":0.00005540713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000948673,"about_ca_topic_score_gemma":0.000007250949,"domain_scores_codex":[0.9985157,0.0001161331,0.0003168529,0.000603854,0.0002488459,0.0001986574],"domain_scores_gemma":[0.9994587,0.00003371662,0.0001472038,0.0002003617,0.00004541154,0.0001145694],"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":[0.0006992334,0.0006363973,0.3276501,0.00000643103,5.696601e-7,0.0000117061,0.00007084402,0.000240311,0.6701403,0.000537485,3.03948e-7,0.000006269313],"study_design_scores_gemma":[0.0004485794,0.0003567609,0.4466946,9.954639e-7,0.000002488596,0.00001444825,0.000001592984,0.0006823334,0.5517113,0.00001609837,0.000001990744,0.00006880674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992187,0.000009352743,0.00008191444,0.00004889221,0.0001474287,0.0002428067,0.000205679,0.00002220607,0.00002303702],"genre_scores_gemma":[0.9994827,0.000004574969,0.0001460418,0.0001752894,0.00002507986,0.00006168513,0.00002008572,0.00001943353,0.00006512305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1190445,"threshold_uncertainty_score":0.6470971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04415622943949076,"score_gpt":0.3034955547058,"score_spread":0.2593393252663093,"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."}}