{"id":"W3023330246","doi":"10.1016/b978-0-12-387837-3.00005-5","title":"Platelet microRNAs","year":2012,"lang":"eu","type":"book-chapter","venue":"Platelets","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre hospitalier de l'Université Laval","funders":"Canadian Institutes of Health Research; Centre Hospitalier Universitaire de Québec; Canadian Blood Services","keywords":"microRNA; Platelet; Medicine; Biology; Internal medicine; Genetics; Gene","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":[0.0003158464,0.001060301,0.0007034473,0.0001336375,0.0002023891,0.00008650211,0.0008106071,0.001784022,0.002679602],"category_scores_gemma":[0.00007323951,0.00117567,0.0006164063,0.00003710584,0.0003904802,0.00001135337,0.0006047749,0.0007577675,0.004846888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005613762,"about_ca_system_score_gemma":0.0001748743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000115186,"about_ca_topic_score_gemma":0.00001119283,"domain_scores_codex":[0.9964709,0.00006552671,0.0007789358,0.001177272,0.0004315379,0.001075784],"domain_scores_gemma":[0.9970266,0.00004315785,0.0005188715,0.001553143,0.0001578464,0.0007003612],"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":[0.0006908978,0.0004210171,0.0003783712,0.0005492343,0.00174688,0.001479946,0.0001335943,0.00001596898,0.8652849,0.01255264,0.02325759,0.09348894],"study_design_scores_gemma":[0.0008083858,0.0001334149,0.00009052567,0.0001278674,0.000203149,0.0003599207,0.000006998127,0.000006317961,0.209939,0.0005740125,0.7865995,0.001150938],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3504927,0.1561082,0.0002881211,0.0003739666,0.003238205,0.001637372,0.001467183,0.0001491897,0.486245],"genre_scores_gemma":[0.806442,0.01003813,0.001132132,0.0007749354,0.003259774,0.00002861405,0.002884817,0.0004840414,0.1749555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7633419,"threshold_uncertainty_score":0.9995119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425156140069321,"score_gpt":0.2303062663479923,"score_spread":0.2160547049472991,"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."}}