{"id":"W2785441464","doi":"10.1038/aps.2018.11","title":"Proteostasis in Huntington's disease: disease mechanisms and therapeutic opportunities","year":2018,"lang":"en","type":"review","venue":"Acta Pharmacologica Sinica","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo; Novartis Pharma; Wellcome Trust; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Genome Canada; Ontario Genomics; Natural Sciences and Engineering Research Council of Canada; Pfizer","keywords":"Proteostasis; Proteasome; Autophagy; Protein aggregation; Biology; Ubiquitin; Huntington's disease; Disease; Cell biology; Mechanism (biology); Neuroscience; Medicine; Biochemistry; Apoptosis; Pathology; Gene","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":[0.0002683303,0.0005859584,0.0008809805,0.001718953,0.0002725459,0.0006874255,0.0004904841,0.0008062815,0.003403897],"category_scores_gemma":[0.0002204928,0.0001573033,0.0003078176,0.0012166,0.000340009,0.0008824436,0.000519654,0.001392438,0.001807627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003559055,"about_ca_system_score_gemma":0.0005963739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005933478,"about_ca_topic_score_gemma":0.001390951,"domain_scores_codex":[0.9999295,0.00001221511,0.00001196377,0.00001201494,0.00002544826,0.000008913267],"domain_scores_gemma":[0.9999139,0.0000279131,0.0000158667,0.000003164772,0.00002475394,0.00001433017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001022366,0.0001356347,0.0001659732,0.0113212,0.00005510092,0.0004572444,0.00008750071,0.000243913,0.004571513,0.004208857,0.02005977,0.958591],"study_design_scores_gemma":[0.00002933994,0.0001954542,0.001134512,0.003084513,0.0001067396,0.003037818,0.00009529395,0.0001255152,0.0008966944,0.003462121,0.9878114,0.00002076608],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001962436,0.9984419,0.0001009285,0.0001988388,0.00009734162,0.000003543448,0.00001217968,0.000007428366,0.0009415663],"genre_scores_gemma":[0.001049622,0.9978868,0.0001948843,0.0001206644,0.000133082,0.000005964449,0.0000228989,0.000001305615,0.0005847673],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003403897,"threshold_uncertainty_score":0.01138717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2344543987760917,"score_gpt":0.3954378708915041,"score_spread":0.1609834721154124,"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."}}