{"id":"W4308045540","doi":"10.1016/j.transci.2022.103602","title":"In-line leukoreduction filters: A new source of microparticle for human and animal study","year":2022,"lang":"en","type":"article","venue":"Transfusion and Apheresis Science","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Flow cytometry; Leukoreduction; Andrology; Chromatography; Centrifugation; Significant difference; CD14; Dynamic light scattering; Chemistry; Materials science; Biomedical engineering; Molecular biology; Biology; Medicine; Immunology; Nanotechnology; Blood transfusion; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0002851156,0.00005616633,0.00006654255,0.00004103566,0.0002045257,0.00001371608,0.0001109572,0.00001265266,0.00003349638],"category_scores_gemma":[0.00001619944,0.00005675754,0.00001983782,0.0001545487,0.0001783636,0.00000828179,0.00008045069,0.0000334774,7.435331e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006250933,"about_ca_system_score_gemma":0.00004669591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001272439,"about_ca_topic_score_gemma":0.0000980459,"domain_scores_codex":[0.9993465,0.00003116483,0.0001211698,0.0002720451,0.0001120145,0.0001171221],"domain_scores_gemma":[0.9997679,0.000005625121,0.00002747541,0.0001144736,0.00001730185,0.00006723317],"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":[0.0001891311,0.0001970457,0.004270003,0.000009396647,0.00000228742,7.603778e-7,0.0005335776,0.00006070916,0.9918402,0.00003080691,0.00008841269,0.002777608],"study_design_scores_gemma":[0.002025419,0.001879665,0.01574074,0.000005530899,0.00001899751,0.000009088837,0.004117405,0.0004395252,0.9743588,0.0001718118,0.001098154,0.0001348909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986632,0.0003442969,0.0005087388,0.0001554453,0.00002366256,0.0002743401,0.000004783561,0.000003147056,0.00002231882],"genre_scores_gemma":[0.9993352,0.00001961087,0.0003509149,0.00005070341,0.00002103891,0.00001545202,0.000001733184,0.000005324046,0.0001999635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01748149,"threshold_uncertainty_score":0.2314505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723465867965809,"score_gpt":0.2933538580104222,"score_spread":0.2761191993307642,"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."}}