{"id":"W4236209061","doi":"10.1016/b978-0-12-813456-6.00006-0","title":"Platelet MicroRNAs","year":2019,"lang":"eu","type":"book-chapter","venue":"Platelets","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; Centre Hospitalier Universitaire de Québec","keywords":"microRNA; Gene silencing; Biology; Untranslated region; Translation (biology); Messenger RNA; RNA; Genetics; Computational biology; Gene; Gene expression; RNA silencing; Post-transcriptional regulation; Cell biology; RNA interference","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":[0.0002072607,0.0006437672,0.0003835994,0.0005655621,0.0004243804,0.001686797,0.0003425952,0.001032946,0.02737814],"category_scores_gemma":[0.0002865165,0.0003060087,0.0002955962,0.0005187092,0.0003557486,0.0006433023,0.0007573095,0.001727168,0.02407365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003874071,"about_ca_system_score_gemma":0.0002792807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001612731,"about_ca_topic_score_gemma":0.0002508065,"domain_scores_codex":[0.9998481,0.00002930498,0.000007791084,0.00003581998,0.00006178759,0.00001729299],"domain_scores_gemma":[0.9999475,0.00001614567,0.000005895597,0.000007701065,0.0000120153,0.00001077354],"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":[0.0002264324,0.00005944267,0.0001277999,0.0007127821,0.00002471084,0.0007468339,0.0002430588,0.0002682921,0.1437684,0.1388896,0.200762,0.5141707],"study_design_scores_gemma":[0.000007138579,0.00003885313,0.0001355038,0.00004921882,0.000008244916,0.0008148092,0.00001997906,0.00009220164,0.01496627,0.004748769,0.9791125,0.000006520872],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.007225586,0.1981411,0.03310595,0.005801885,0.009980407,0.0001342205,0.0005799703,0.001290151,0.7437407],"genre_scores_gemma":[0.04202468,0.05937482,0.01060647,0.003389417,0.001906276,0.0002097811,0.0006293529,0.0003471441,0.8815122],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02737814,"threshold_uncertainty_score":0.09158903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142434229266066,"score_gpt":0.225436057869295,"score_spread":0.2140117155766344,"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."}}