{"id":"W3040264829","doi":"10.1182/bloodadvances.2020001758","title":"Platelet-derived extracellular vesicles infiltrate and modify the bone marrow during inflammation","year":2020,"lang":"en","type":"article","venue":"Blood Advances","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier de l'Université Laval","funders":"Canadian Institutes of Health Research; Advanced Medical Research Foundation; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Brigham and Women's Hospital; Boston Children's Hospital; Breast Cancer Research Foundation","keywords":"Bone marrow; Inflammation; Haematopoiesis; Flow cytometry; Platelet; Myeloid; Megakaryocyte; Cell biology; Immunology; In vivo; Immunophenotyping; Chemistry; Biology; Pathology; Stem cell; Medicine","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":[0.0001630427,0.0002900469,0.0002100817,0.0003503143,0.0001025873,0.0003540701,0.0000841247,0.0003699532,0.001035177],"category_scores_gemma":[0.00009260348,0.000165003,0.0001201179,0.0001280645,0.0001579178,0.000240213,0.000253203,0.000562629,0.000298392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001365123,"about_ca_system_score_gemma":0.00006953623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001230699,"about_ca_topic_score_gemma":0.0001881791,"domain_scores_codex":[0.9998418,0.00003733792,0.00001290671,0.0000322677,0.00003509252,0.00004067687],"domain_scores_gemma":[0.9999233,0.00001434285,0.0000267777,0.000006050614,0.000007247018,0.00002218817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001270231,0.00001038992,0.0004789522,0.00002805847,0.00000286731,0.0001415696,0.00003337712,0.00002226859,0.9979863,0.0001374399,0.0000193254,0.00101238],"study_design_scores_gemma":[0.00005436003,0.000974151,0.04845107,0.00004587625,0.00005093097,0.001815363,0.0002321225,0.001345256,0.9424146,0.0003479777,0.004257301,0.00001103772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993327,0.003224579,0.001782079,0.00006879327,0.00001335706,0.00003462972,0.0001958103,0.00005933728,0.001294336],"genre_scores_gemma":[0.994458,0.001192009,0.001931799,0.00009547277,0.00001869073,0.00004604801,0.0002705166,0.00001785497,0.001969647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001035177,"threshold_uncertainty_score":0.00346303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008159017298855882,"score_gpt":0.2146921939964882,"score_spread":0.2065331766976324,"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."}}