{"id":"W4210438222","doi":"10.1101/2022.01.27.478047","title":"Widespread alterations in microRNA biogenesis in human Huntington’s disease putamen","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital de l'Enfant-Jésus; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Université Laval; Centres Intégré Universitaires de Santé et de Services Sociaux; Centre hospitalier de l'Université Laval","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Drosha; microRNA; Dicer; Biology; Huntington's disease; Neurodegeneration; Huntingtin; Biogenesis; Cell biology; Genetics; Disease; Neuroscience; Pathology; Gene; RNA interference; Mutant; Medicine; RNA","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":[0.0001000687,0.0002238633,0.0002601711,0.0004007264,0.0002029396,0.000274717,0.00009855969,0.0001775873,0.0007446567],"category_scores_gemma":[0.0001231574,0.0001811579,0.0001496123,0.0002294761,0.0002094585,0.00009889334,0.000189877,0.0001245817,0.0001826334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001996707,"about_ca_system_score_gemma":0.0001164491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001337357,"about_ca_topic_score_gemma":0.001664354,"domain_scores_codex":[0.9999236,0.00001018424,0.000008778643,0.00002607036,0.00002152881,0.000009789549],"domain_scores_gemma":[0.9999452,0.000007732722,0.00001765681,0.000007677434,0.00001124753,0.00001059412],"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":[0.0007543308,0.00002434028,0.02383116,0.00008684605,0.00009706493,0.001077602,0.0002250448,0.00009113816,0.9700148,0.00007249058,0.00006928561,0.003656029],"study_design_scores_gemma":[0.00002743855,0.0004713715,0.7958517,0.0000128458,0.0001182656,0.005449107,0.0002499507,0.0009667259,0.1953228,0.0001510088,0.001366547,0.00001225204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985291,0.0006383747,0.0003118411,0.00000850176,0.000003101585,0.000003705706,0.0001828604,0.00001277498,0.0003097834],"genre_scores_gemma":[0.9988173,0.0001900042,0.0002900328,0.000009392073,0.000001417264,0.000006043909,0.0003037576,0.000003695547,0.0003784008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001337357,"threshold_uncertainty_score":0.002659142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02534714123523744,"score_gpt":0.2561080933261277,"score_spread":0.2307609520908903,"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."}}