{"id":"W1966151142","doi":"10.1111/ejn.12444","title":"Widespread micro<scp>RNA</scp>dysregulation in multiple system atrophy – disease‐related alteration in miR‐96","year":2013,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Stichting Diabetes Onderzoek Nederland; National Institute on Aging; Donner Canadian Foundation; Foundation for the National Institutes of Health","keywords":"Progressive supranuclear palsy; Corticobasal degeneration; RNA; Biology; microRNA; Atrophy; RNA-binding protein; Messenger RNA; Neurodegeneration; Glucocerebrosidase; Context (archaeology); Dementia with Lewy bodies; Disease; Medicine; Gene; Dementia; Pathology; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003910966,0.0001307361,0.0001209223,0.000187889,0.00006309109,0.0001035997,0.000275489,0.00002574868,0.000003182395],"category_scores_gemma":[0.0005630185,0.0001189782,0.0000849056,0.0002635658,0.00008680535,0.00005936935,0.00005962173,0.0001115056,0.00002469052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003161291,"about_ca_system_score_gemma":0.00006772236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004318922,"about_ca_topic_score_gemma":0.000001901942,"domain_scores_codex":[0.9983147,0.0004510164,0.0005402022,0.0002595656,0.0002278732,0.0002066922],"domain_scores_gemma":[0.9991074,0.00002707173,0.0003234911,0.0002054954,0.0001175006,0.0002189951],"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":[0.00002903327,0.00006855952,0.03980614,0.00001185909,0.000001490402,0.0001041698,0.00005339919,0.008168573,0.9507854,0.00001873305,0.0003475572,0.0006050786],"study_design_scores_gemma":[0.001062168,0.0001516151,0.9766268,0.00008437129,0.000005623594,0.00005219882,0.00005723587,0.01038784,0.01049075,0.0000140997,0.0009973397,0.00006997658],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975723,0.0002206852,0.001137852,0.0001437929,0.0003881033,0.0001806599,0.00000306069,0.00000768325,0.0003458843],"genre_scores_gemma":[0.9991443,0.0000245621,0.0002328572,0.0002108098,0.00008918295,0.000002063753,0.000008102991,0.00001879607,0.0002693641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9402946,"threshold_uncertainty_score":0.4851791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132837960286035,"score_gpt":0.215317558646032,"score_spread":0.2039891790431716,"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."}}