{"id":"W2081245925","doi":"10.1371/journal.pone.0107434","title":"Allele-Specific Suppression of Mutant Huntingtin Using Antisense Oligonucleotides: Providing a Therapeutic Option for All Huntington Disease Patients","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sleep & Circadian Network; University of British Columbia; Université de Montréal; Child and Family Research Institute","funders":"Canadian Institutes of Health Research; Killam Trusts; Huntington Society of Canada; Michael Smith Health Research BC; Pfizer","keywords":"Huntingtin; Huntington's disease; Trinucleotide repeat expansion; Huntingtin Protein; Allele; Single-nucleotide polymorphism; Mutant; Gene silencing; Biology; Genetics; Mutant protein; SNP; Disease; Gene; Bioinformatics; Medicine; Internal medicine; Genotype","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":[],"consensus_categories":[],"category_scores_codex":[0.0001817111,0.0002520923,0.0003251629,0.0001396963,0.0002166765,0.00007814781,0.0002603122,0.00004642856,0.00002097085],"category_scores_gemma":[0.001192459,0.0002436816,0.0001231586,0.000180432,0.0001086713,0.0001917811,0.0001122899,0.00009234407,0.000009011101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000349812,"about_ca_system_score_gemma":0.0000364426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003580624,"about_ca_topic_score_gemma":5.314743e-7,"domain_scores_codex":[0.997529,0.0002999244,0.0004595162,0.0006920941,0.0005867559,0.0004326734],"domain_scores_gemma":[0.9984682,0.0003246714,0.0003805164,0.0004384215,0.0002090606,0.0001791276],"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":[0.0002546658,0.001889915,0.01073165,0.0002709769,0.00001639796,6.361385e-7,0.0001400984,0.0002802517,0.9854866,0.0002974498,0.000009325016,0.0006219843],"study_design_scores_gemma":[0.0009918363,0.0002225939,0.007820527,0.000268055,0.0001481214,1.617162e-7,0.00001782111,0.0304908,0.9594447,0.0002749434,0.00007270247,0.0002477273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967892,0.0000318014,0.001499424,0.00007021683,0.00009964869,0.001317032,0.00007674938,0.00008082271,0.00003516356],"genre_scores_gemma":[0.9962759,0.00004067791,0.003130579,0.0002707297,0.0001085977,0.00005595062,0.00002486036,0.00007304754,0.00001963979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03021054,"threshold_uncertainty_score":0.9937047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09389373783003618,"score_gpt":0.2726786383828191,"score_spread":0.1787849005527829,"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."}}