{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000537459,0.0006457437,0.0009676315,0.001215754,0.0002268908,0.0008441085,0.0006647507,0.001177645,0.002838656],"category_scores_gemma":[0.0005255413,0.0002160767,0.00034462,0.001096331,0.0004314086,0.001359809,0.0006410027,0.002193364,0.002042109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005235221,"about_ca_system_score_gemma":0.0007544585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004588978,"about_ca_topic_score_gemma":0.001166941,"domain_scores_codex":[0.9998457,0.00003098417,0.000018487,0.00002550867,0.00006385521,0.00001536831],"domain_scores_gemma":[0.9998298,0.00008427868,0.0000174089,0.000005844228,0.00004087872,0.00002175249],"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":[0.00007149809,0.00008552844,0.00008145218,0.01176289,0.00005835843,0.0002195303,0.00007461994,0.0005175103,0.0063499,0.01152691,0.02763361,0.9416182],"study_design_scores_gemma":[0.00001945062,0.0001269035,0.0003314332,0.001680864,0.00005109515,0.0007261951,0.0000476991,0.0001706917,0.0008358096,0.003961076,0.9920343,0.00001456459],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001632638,0.9975853,0.0002499777,0.0005177348,0.000256822,0.000004016381,0.0000138348,0.00001289137,0.001196072],"genre_scores_gemma":[0.0007608625,0.9977453,0.0003445737,0.0002851225,0.0001518917,0.00000819757,0.00001929999,0.000002193281,0.0006824179],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002838656,"threshold_uncertainty_score":0.009496212,"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."}}