{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003266605,0.0005832451,0.000592523,0.0006949307,0.0007006146,0.002177925,0.0005477603,0.001812766,0.007168854],"category_scores_gemma":[0.0007496879,0.0002174652,0.0006021308,0.0005625943,0.0003172226,0.001114788,0.001133957,0.001058306,0.005592956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007070283,"about_ca_system_score_gemma":0.0006731517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005201309,"about_ca_topic_score_gemma":0.0003222362,"domain_scores_codex":[0.999516,0.00009018788,0.0000458662,0.00007915633,0.0001693893,0.00009939825],"domain_scores_gemma":[0.9998391,0.00002886401,0.00002821178,0.00001864877,0.00005472581,0.00003042002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008291412,0.0001313719,0.001714897,0.008164713,0.0003566701,0.006582794,0.0006954829,0.002025136,0.3850595,0.1079507,0.09720659,0.3892831],"study_design_scores_gemma":[0.00005509839,0.0001254843,0.0009804867,0.0005848172,0.00006923315,0.004712822,0.0001524694,0.0007700268,0.07934462,0.007112543,0.9060502,0.00004210142],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.08743034,0.6638597,0.07119892,0.008605823,0.008570499,0.0009918584,0.01135508,0.001858804,0.146129],"genre_scores_gemma":[0.538157,0.3203364,0.02065563,0.005624351,0.001470385,0.0008408112,0.01640764,0.0002833461,0.09622446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007168854,"threshold_uncertainty_score":0.02398223,"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."}}