{"id":"W2162330956","doi":"10.18632/aging.100131","title":"Interpretation and applicability of microRNA data to the context of Alzheimer's and age-related diseases","year":2010,"lang":"en","type":"review","venue":"Aging","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; Health Canada; National Alliance for Research on Schizophrenia and Depression","keywords":"microRNA; Dicer; Context (archaeology); Biology; Translation (biology); Alzheimer's disease; Disease; Messenger RNA; Gene expression; Amyloid precursor protein; Regulation of gene expression; Gene; Neuroscience; Computational biology; RNA; Genetics; Bioinformatics; Medicine; RNA interference; Pathology","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":[0.002250782,0.001349104,0.002281519,0.002871008,0.0003906664,0.001571195,0.001735624,0.001624734,0.001789731],"category_scores_gemma":[0.003041293,0.0003863882,0.0004655143,0.002765874,0.001715693,0.00309154,0.0009483028,0.003086774,0.001930947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714948,"about_ca_system_score_gemma":0.001794071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001217225,"about_ca_topic_score_gemma":0.001781312,"domain_scores_codex":[0.9993411,0.0001783082,0.0001106277,0.000118921,0.000225209,0.00002589878],"domain_scores_gemma":[0.9986174,0.0007645588,0.0001105609,0.0000789453,0.0003654571,0.00006299624],"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":[0.0001005448,0.00005436716,0.0003269668,0.01561754,0.0001434849,0.001064219,0.0002593774,0.001200918,0.00802253,0.02618595,0.06587727,0.8811468],"study_design_scores_gemma":[0.000008706364,0.00002994887,0.000543704,0.00177259,0.00005652115,0.001491139,0.00009258526,0.0001444263,0.001127924,0.007270171,0.9874392,0.00002309606],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001479212,0.993204,0.0009828517,0.001548715,0.001675208,0.000006911158,0.00002561658,0.0000156551,0.002393176],"genre_scores_gemma":[0.001036139,0.9949509,0.001295105,0.0006482133,0.0008866457,0.00001339774,0.00003152232,0.000006444695,0.001131556],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002871008,"threshold_uncertainty_score":0.01244283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0313973567810621,"score_gpt":0.3234663155816673,"score_spread":0.2920689588006052,"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."}}