{"id":"W2106358463","doi":"10.3389/fgene.2013.00090","title":"Erratum: microRNA dysregulation in multiple sclerosis","year":2013,"lang":"en","type":"erratum","venue":"Frontiers in Genetics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"microRNA; Multiple sclerosis; Computational biology; Biology; Neuroscience; Genetics; Gene; Immunology","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":[0.004393805,0.001880608,0.002092614,0.001953786,0.002263142,0.003072696,0.003067487,0.008134914,0.009203777],"category_scores_gemma":[0.02250045,0.0009197942,0.0015265,0.00113898,0.002015662,0.002060978,0.001334465,0.01213867,0.009707376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003897713,"about_ca_system_score_gemma":0.005339747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005055888,"about_ca_topic_score_gemma":0.006872687,"domain_scores_codex":[0.9964023,0.0005500171,0.0007499453,0.0005835975,0.001449306,0.0002647602],"domain_scores_gemma":[0.9833451,0.004011095,0.0011739,0.0004043861,0.01008849,0.0009770095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004756338,0.00001196282,0.0000925587,0.0001645967,0.00002068757,0.0003946831,0.0000247142,0.00003429399,0.0001527395,0.000386971,0.9913089,0.007360307],"study_design_scores_gemma":[0.00004181857,0.00005239465,0.0006731113,0.000409764,0.00008757598,0.001324096,0.00005995618,0.0002103722,0.0008093312,0.0008089778,0.9954761,0.00004658721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001399484,0.003658162,0.0003938382,0.09008984,0.9047213,0.00001568874,0.0001465631,0.00009812228,0.000736561],"genre_scores_gemma":[0.004923396,0.01577077,0.001783108,0.2720636,0.6589084,0.0001234225,0.0004367327,0.000400028,0.04559056],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009203777,"threshold_uncertainty_score":0.03078967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580997274320282,"score_gpt":0.2169424760050038,"score_spread":0.2011325032618009,"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."}}