{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001770972,0.0001575253,0.0001462683,0.0001489356,0.0002302306,0.0001086501,0.0009927166,0.00002885579,0.00009917461],"category_scores_gemma":[0.0009431165,0.0001568424,0.0001214637,0.0004291153,0.000369439,0.0002323104,0.0003355558,0.0001674406,0.0000702934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003949357,"about_ca_system_score_gemma":0.0002640564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001375902,"about_ca_topic_score_gemma":0.000006035415,"domain_scores_codex":[0.9984463,0.0003432018,0.0004315871,0.000356934,0.0002175435,0.0002044605],"domain_scores_gemma":[0.9972813,0.0006481509,0.0001166678,0.001732187,0.00006484532,0.0001568929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001223548,0.0001766514,0.004025393,0.000088693,0.000006581478,7.359496e-7,0.0008291572,0.0003895493,0.988532,0.003300182,0.0001953512,0.002443434],"study_design_scores_gemma":[0.000198718,0.00002286364,0.4939852,0.00005779443,0.0000456103,0.000001728263,0.00006973957,0.03500154,0.4550993,0.002814366,0.01238117,0.0003219393],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918979,0.000170541,0.001186056,0.004970915,0.0001774822,0.0005119518,0.000426375,0.0001486577,0.0005101075],"genre_scores_gemma":[0.9974183,0.000197612,0.001000288,0.0006913769,0.00003176112,0.0001327916,0.0001236286,0.00003178785,0.000372453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5334328,"threshold_uncertainty_score":0.6395846,"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."}}