{"id":"W2112599670","doi":"10.1093/hmg/ddq018","title":"Transcriptional changes in Huntington disease identified using genome-wide expression profiling and cross-platform analysis","year":2010,"lang":"en","type":"article","venue":"Human Molecular Genetics","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Child and Family Research Institute","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; Vetenskapsrådet; National Institutes of Health; Michael Smith Health Research BC; École Polytechnique Fédérale de Lausanne; CHDI Foundation","keywords":"Biology; Gene; Gene expression profiling; Genetics; Gene expression; Genome; Huntington's disease; GenBank; Computational biology; Disease; 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":[0.0001469775,0.0002556085,0.0002266689,0.0004248291,0.0003035244,0.0002559354,0.0002767172,0.00007776555,0.0001085874],"category_scores_gemma":[0.0001993455,0.0002774112,0.0001190178,0.0004775817,0.0002431756,0.00009049427,0.0001332438,0.0002327646,0.000003994465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001928237,"about_ca_system_score_gemma":0.00005010439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006803329,"about_ca_topic_score_gemma":0.0001006979,"domain_scores_codex":[0.9979336,0.0001058823,0.0003217314,0.0007934304,0.0004545705,0.0003907979],"domain_scores_gemma":[0.9990582,0.0000446092,0.0001219391,0.0004528933,0.00007157378,0.0002507735],"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":[0.00001762668,0.00007066434,0.1000878,0.00002813084,0.000009552086,0.00002940361,0.0001055768,0.005156875,0.8942306,0.0002310451,3.90761e-7,0.00003234531],"study_design_scores_gemma":[0.0002540914,0.00001432754,0.36282,0.000006982619,0.00009886235,8.670582e-7,0.00001124398,0.002258568,0.6338999,0.0004316125,0.00001643287,0.0001870957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971537,0.0001776499,0.002005026,0.0000244385,0.0001227559,0.0003808891,0.00004821636,0.00003570585,0.00005159504],"genre_scores_gemma":[0.9978691,0.0000267652,0.001602264,0.0002909555,0.00005685068,0.00003164779,0.00003981531,0.00004274392,0.00003989098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2627322,"threshold_uncertainty_score":0.9999678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04207609725306829,"score_gpt":0.3113983878256287,"score_spread":0.2693222905725604,"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."}}