{"id":"W4406284854","doi":"10.1093/braincomms/fcae418","title":"Genomic characterization of Huntington’s disease genetic modifiers informs drug target tractability","year":2024,"lang":"en","type":"article","venue":"Brain Communications","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Health Sciences Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Research Chairs; University of Manitoba; Research Manitoba; Health Sciences Centre Foundation","keywords":"Huntington's disease; Drug; Disease; Genetics; Computational biology; Biology; Characterization (materials science); Medicine; Pharmacology; Nanotechnology; Internal medicine","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":[0.0006684921,0.000272342,0.0004305549,0.001245612,0.0002597586,0.0006124685,0.0001788451,0.0004262135,0.003715705],"category_scores_gemma":[0.001837883,0.0001329415,0.00056317,0.00128091,0.0002945817,0.0002444406,0.0003532907,0.0004287684,0.0003013239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002357154,"about_ca_system_score_gemma":0.0001882352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001673283,"about_ca_topic_score_gemma":0.002738047,"domain_scores_codex":[0.9996827,0.00007280443,0.00003157904,0.0001296313,0.00005747305,0.00002587069],"domain_scores_gemma":[0.998077,0.001200588,0.0003944068,0.0001591419,0.00009655065,0.00007232737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002073157,0.0001208024,0.4781865,0.0006007777,0.00117744,0.00244196,0.0005163879,0.009979491,0.4356954,0.003166795,0.00180934,0.0642319],"study_design_scores_gemma":[0.00008219961,0.000348197,0.9366389,0.0001055421,0.000959031,0.001714576,0.0001671728,0.01140498,0.0373281,0.003714257,0.007487631,0.00004936445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837895,0.001578522,0.006732363,0.0001891928,0.00001307595,0.00002876093,0.006097699,0.0001096074,0.001461301],"genre_scores_gemma":[0.9944936,0.0002503542,0.002826946,0.0000949585,0.00001041824,0.00001451634,0.001981411,0.00002842261,0.0002993431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003715705,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0311777917719068,"score_gpt":0.282838550532717,"score_spread":0.2516607587608102,"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."}}