{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001871025,0.0001370527,0.0003739337,0.0000298195,0.0000252561,0.0000120074,0.0002532698,0.000118381,0.000002528308],"category_scores_gemma":[0.0001059811,0.0001000006,0.00006512389,0.0000572537,0.0001623758,0.000003594776,0.0004821808,0.00008080152,6.30583e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003262744,"about_ca_system_score_gemma":0.00005086254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001602491,"about_ca_topic_score_gemma":0.00001722411,"domain_scores_codex":[0.9991211,0.00008260734,0.0003248049,0.0003421839,0.00005475628,0.00007457817],"domain_scores_gemma":[0.9989045,0.00003806506,0.0002532012,0.0007147293,0.0000403874,0.00004916095],"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":[0.000008586629,0.0000181666,0.00005034685,0.001673645,0.0002410379,3.478309e-7,0.0000705668,6.423209e-7,0.01230831,0.00001053894,0.0001691251,0.9854487],"study_design_scores_gemma":[0.000285638,0.00005843082,0.001440193,0.002789818,0.003568097,0.00002292321,0.00008173689,0.0001043929,0.003498918,0.00003841924,0.9877309,0.0003805163],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01013721,0.9887445,0.00009703892,0.00002618345,0.00004110446,0.000561713,0.0003735648,0.000003262648,0.00001542093],"genre_scores_gemma":[0.2699574,0.7282884,0.0001854118,0.00002901136,0.00005157311,0.0000246224,0.001434788,0.0000232285,0.000005552587],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9875618,"threshold_uncertainty_score":0.4077907,"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."}}