{"id":"W3092559672","doi":"10.1161/atvbaha.120.314644","title":"Platelet Extracellular Vesicles","year":2020,"lang":"en","type":"article","venue":"Arteriosclerosis Thrombosis and Vascular Biology","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":244,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute","keywords":"Platelet; Hemostasis; Microvesicles; Organelle; Platelet activation; Extracellular vesicles; Extracellular; Extracellular vesicle","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001927888,0.0003047532,0.0003329488,0.00003271486,0.0001652271,0.00005484383,0.0002964912,0.0002605744,0.00009884356],"category_scores_gemma":[0.00007858289,0.0002947806,0.0002179214,0.0001130746,0.0002928341,0.00001082919,0.0002780892,0.000126964,0.00006248734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007012336,"about_ca_system_score_gemma":0.00002989244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009206244,"about_ca_topic_score_gemma":0.000004971825,"domain_scores_codex":[0.9981934,0.0001701471,0.0003383161,0.0007742397,0.0001077423,0.0004161417],"domain_scores_gemma":[0.9990359,0.00001628691,0.0001022653,0.0004585235,0.0000475589,0.0003394593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000007495573,0.00006931352,0.02815152,0.00002597594,0.0001712281,1.950605e-7,0.0001192271,0.000005466442,0.9689556,0.0005504001,0.0009414849,0.001002141],"study_design_scores_gemma":[0.00291457,0.001587442,0.6315463,0.00004058353,0.000188176,0.000002465038,0.0003111999,0.0005727804,0.1575444,0.0002600913,0.2037492,0.001282775],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934263,0.001410468,0.00345405,0.001111854,0.0001018321,0.0002433473,0.00004029776,0.00005488659,0.0001569213],"genre_scores_gemma":[0.993469,0.002742578,0.001340635,0.00186009,0.0003279307,0.0000336191,0.0001667659,0.00005177714,0.000007605257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8114111,"threshold_uncertainty_score":0.9999504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03186461245537128,"score_gpt":0.261729774424778,"score_spread":0.2298651619694067,"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."}}