{"id":"W3014945289","doi":"10.3390/cells9040841","title":"The Promise and Challenges of Developing miRNA-Based Therapeutics for Parkinson’s Disease","year":2020,"lang":"en","type":"review","venue":"Cells","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University Health Network","funders":"","keywords":"microRNA; Disease; Neuroscience; Neuroprotection; Parkinson's disease; Translation (biology); Mechanism (biology); Bioinformatics; Transcriptome; Untranslated region; Dopaminergic; Biology; Medicine; Dopamine; RNA; Messenger RNA; Gene expression; Gene; Genetics; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00009323525,0.0001914981,0.0003562133,0.00001509845,0.00005414057,0.00001825872,0.0002262571,0.0001298504,7.389241e-7],"category_scores_gemma":[0.00002092771,0.0001247212,0.0002042229,0.00002422726,0.00006602003,7.931623e-7,0.00005978602,0.0000555347,0.000002209448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007460293,"about_ca_system_score_gemma":0.000337984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.95877e-7,"about_ca_topic_score_gemma":0.000002851155,"domain_scores_codex":[0.9992485,0.00005377572,0.0002282547,0.0002774778,0.00005419599,0.0001377866],"domain_scores_gemma":[0.9994158,0.00006171576,0.0001619039,0.000246404,0.00005657035,0.00005756424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000523474,0.00001332604,0.000001026303,0.007655752,0.0001542653,0.000001375728,0.00001563872,2.925557e-7,0.0004545377,0.00004332638,0.0003426456,0.9912655],"study_design_scores_gemma":[0.000114967,0.0001068125,0.000002344009,0.0009631294,0.000214598,5.894065e-7,0.00001367323,0.000009736746,0.003736305,0.00002520458,0.9946555,0.0001570867],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007097489,0.9986728,0.000188691,0.000286347,0.0001112387,0.0005644243,0.00007154791,0.000003409088,0.00003049463],"genre_scores_gemma":[0.0001924408,0.9990089,0.0002596306,0.0001048984,0.0001261877,0.0001288429,0.00005938376,0.00002642737,0.00009330746],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9943129,"threshold_uncertainty_score":0.5085981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08572797731315557,"score_gpt":0.3148833807682462,"score_spread":0.2291554034550907,"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."}}