{"id":"W2942222993","doi":"10.3390/ncrna5020035","title":"MicroRNAs in Neuroinflammation: Implications in Disease Pathogenesis, Biomarker Discovery and Therapeutic Applications","year":2019,"lang":"en","type":"review","venue":"Non-Coding RNA","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":228,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Public Health Agency of Canada","funders":"","keywords":"Neuroinflammation; microRNA; Pathogenesis; Biomarker; Disease; Biomarker discovery; Medicine; Neuroscience; Computational biology; Bioinformatics; Biology; Immunology; Pathology; Gene; Proteomics; Genetics","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":[0.0006939083,0.0008930205,0.001246392,0.001743467,0.0002885899,0.001032271,0.000714417,0.00129186,0.002970774],"category_scores_gemma":[0.0008471564,0.0002536962,0.0003824116,0.001936452,0.0006824411,0.001431368,0.0006832116,0.001906142,0.001913112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008194529,"about_ca_system_score_gemma":0.00123922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005980508,"about_ca_topic_score_gemma":0.001054314,"domain_scores_codex":[0.9998003,0.00004205598,0.0000289028,0.00003500269,0.00007343084,0.00002032019],"domain_scores_gemma":[0.9996417,0.0001806189,0.00004035043,0.00001149037,0.00008491852,0.0000408743],"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":[0.00009423923,0.00007086722,0.0001862159,0.01025981,0.00006410343,0.0002883069,0.0000744027,0.0004941532,0.004804711,0.008050234,0.03452084,0.941092],"study_design_scores_gemma":[0.00001701199,0.0001079646,0.0007302598,0.002218677,0.00006201962,0.001650262,0.00005965154,0.0001500321,0.0007875272,0.004846162,0.9893485,0.00002197247],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007682396,0.9983338,0.0001834608,0.0003217044,0.0003005414,0.000003179925,0.000009148768,0.00000786645,0.0007635485],"genre_scores_gemma":[0.0006515149,0.9980426,0.0002814516,0.0001844395,0.0002491906,0.000007237949,0.00001621865,0.000001401846,0.000565942],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002970774,"threshold_uncertainty_score":0.00993824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03724572540901693,"score_gpt":0.3149599664714995,"score_spread":0.2777142410624825,"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."}}