{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001948206,0.0009383747,0.0007282326,0.0001693673,0.0001346613,0.0000978723,0.0005853146,0.001740061,0.002128924],"category_scores_gemma":[0.0000456362,0.001036926,0.0005527811,0.00003999555,0.0002009613,0.000008804011,0.0004086562,0.0005082891,0.005643458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008096722,"about_ca_system_score_gemma":0.000371695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001393861,"about_ca_topic_score_gemma":0.0000156594,"domain_scores_codex":[0.9967866,0.00004801466,0.0007365802,0.001342077,0.0003946352,0.0006921093],"domain_scores_gemma":[0.9974608,0.00003699214,0.0005855911,0.001404515,0.0002201533,0.0002919037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006070324,0.0001242853,0.0001654275,0.0006109279,0.001462135,0.0003485491,0.00005087672,0.0001338227,0.945213,0.00747818,0.02758037,0.01622538],"study_design_scores_gemma":[0.001130594,0.0001900434,0.0003415905,0.0002518164,0.0001423446,0.0002425808,0.000004354323,0.00004026857,0.1544671,0.0003812575,0.8416875,0.001120548],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5569456,0.0182931,0.0002237238,0.0003974421,0.002947948,0.002227865,0.001395451,0.0001046787,0.4174642],"genre_scores_gemma":[0.6739156,0.003473958,0.0005752742,0.0007310442,0.001815481,0.00001817781,0.006142942,0.0004744351,0.3128532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8141071,"threshold_uncertainty_score":0.9995559,"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."}}