{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003869012,0.0002584052,0.0003713879,0.0005346597,0.0001794065,0.0004011558,0.0001195267,0.0002680987,0.0009511432],"category_scores_gemma":[0.0003057865,0.0001451205,0.0003617471,0.0005628568,0.0001654736,0.0001620379,0.000360961,0.0004105878,0.0002774071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001831391,"about_ca_system_score_gemma":0.0001096315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005491132,"about_ca_topic_score_gemma":0.001707541,"domain_scores_codex":[0.9997098,0.00002660511,0.00001627494,0.0001419269,0.00006073094,0.00004455046],"domain_scores_gemma":[0.9997188,0.00007893408,0.0001037071,0.00003124035,0.00004211902,0.00002526132],"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":[0.0002084799,0.0000227506,0.01641302,0.00006524775,0.00008601641,0.00006340208,0.00005870359,0.0001813109,0.9776868,0.00004274571,0.00008239623,0.00508914],"study_design_scores_gemma":[0.00001136301,0.000389742,0.7930516,0.00001154098,0.000240425,0.0005775983,0.0001500261,0.00198558,0.2005874,0.0001855176,0.002786966,0.00002229871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896899,0.001338562,0.005597192,0.00004506492,0.00001646005,0.00002019913,0.00252464,0.0001110162,0.0006567371],"genre_scores_gemma":[0.9825293,0.001043592,0.007551784,0.0001180002,0.00001733252,0.0001059143,0.006367457,0.00007599329,0.00219073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009511432,"threshold_uncertainty_score":0.003181875,"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."}}