{"id":"W3207144288","doi":"10.1101/2021.10.19.465059","title":"Identification of novel therapeutic targets for polyglutamine toxicity disorders that target mitochondrial fragmentation","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"National Institute of General Medical Sciences; Van Andel Research Institute; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Neurodegeneration; Biology; Mitochondrion; Mitochondrial DNA; Mitochondrial fission; Fragmentation (computing); Mitochondrial disease; Huntington's disease; Mitochondrial toxicity; Genetics; RNA interference; Toxicity; Trinucleotide repeat expansion; Cell biology; Gene; Allele; RNA; Disease; Pathology; Medicine; 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":[0.0002027502,0.0004454251,0.0005199242,0.0003718308,0.0001942826,0.0004247485,0.0003635208,0.0006105609,0.001640656],"category_scores_gemma":[0.00008496946,0.0001306129,0.0003406191,0.0001624801,0.0002021011,0.0002230792,0.000227049,0.0009945537,0.0003840515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003650745,"about_ca_system_score_gemma":0.0002586813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003690047,"about_ca_topic_score_gemma":0.0009199462,"domain_scores_codex":[0.9999199,0.000009767412,0.000007370453,0.00001720968,0.00002491536,0.00002086445],"domain_scores_gemma":[0.9999189,0.000009391812,0.00002886634,0.000004781144,0.00001794853,0.00002000369],"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":[0.0002320327,0.0003267698,0.0004555367,0.0002931305,0.00003517246,0.0001339595,0.00002079153,0.0004527596,0.9779116,0.0004443073,0.000464967,0.01922888],"study_design_scores_gemma":[0.0008088883,0.009235827,0.01008973,0.0001789217,0.0003406429,0.001449315,0.0001087909,0.004050695,0.9381083,0.0006004336,0.03498691,0.00004160524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476877,0.02724629,0.01625779,0.001782709,0.00034742,0.0005688715,0.0007733801,0.0003919354,0.004943768],"genre_scores_gemma":[0.9647847,0.01302636,0.01523362,0.0006142198,0.00007418538,0.0004377482,0.0008950104,0.00003907409,0.00489508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001640656,"threshold_uncertainty_score":0.005488515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02803333276338768,"score_gpt":0.2579360728388258,"score_spread":0.2299027400754381,"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."}}