{"id":"W2072806007","doi":"10.1371/journal.pone.0116812","title":"Detection and Quantification of Microparticles from Different Cellular Lineages Using Flow Cytometry. Evaluation of the Impact of Secreted Phospholipase A2 on Microparticle Assessment","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Centre hospitalier universitaire de Québec; Université Laval","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; Canadian Arthritis Network; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Arthritis Society; Canadian Institutes of Health Research; Université Laval","keywords":"Microparticle; Phosphatidylserine; Flow cytometry; Microvesicles; Chemistry; Phospholipase A2; Cell biology; Biology; Lipidomics; Biochemistry; Phospholipid; Enzyme; Molecular biology; Membrane","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":[0.001429061,0.001004345,0.0004962374,0.002030665,0.0005738972,0.0008615296,0.0005585718,0.001894066,0.00119463],"category_scores_gemma":[0.001258064,0.0002822275,0.0004358368,0.0007754205,0.0005964235,0.0007376774,0.0006695968,0.001170746,0.0006782784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005591841,"about_ca_system_score_gemma":0.0003085951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004143086,"about_ca_topic_score_gemma":0.000511341,"domain_scores_codex":[0.9985304,0.0002926869,0.0001685647,0.0004473331,0.0004242788,0.0001367637],"domain_scores_gemma":[0.9992593,0.0003058715,0.0001254469,0.00006604787,0.0001839618,0.00005940339],"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":[0.00007486555,0.0000393477,0.0004754883,0.00009556465,0.00001130818,0.00004114914,0.00006698819,0.0001034151,0.9952584,0.0002346114,0.00006693781,0.003532084],"study_design_scores_gemma":[0.00001168794,0.0002157308,0.003769943,0.00002475039,0.00002845166,0.0002760876,0.00004253191,0.003321716,0.9901094,0.0002789435,0.001899151,0.00002167854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6229424,0.007915439,0.3584831,0.0004557584,0.0002557081,0.001372659,0.002701261,0.001181901,0.004691858],"genre_scores_gemma":[0.6517587,0.005410227,0.3307907,0.0006470133,0.0001314808,0.003317594,0.003515009,0.0001977799,0.004231552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002030665,"threshold_uncertainty_score":0.00755769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08685202950028764,"score_gpt":0.3194604411933155,"score_spread":0.2326084116930278,"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."}}