{"id":"W2966403310","doi":"10.1186/s12882-019-1459-y","title":"Effect of hemodialysis on extracellular vesicles and circulating submicron particles","year":2019,"lang":"en","type":"article","venue":"BMC Nephrology","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Department of Medicine, Ottawa Hospital; Canada Foundation for Innovation; Institute of Circulatory and Respiratory Health; Canadian Institutes of Health Research; University of Ottawa","keywords":"Hemodialysis; Nanoparticle tracking analysis; Medicine; Nephrology; Dialysis; Annexin; Extracellular; Flow cytometry; Platelet; Dialysis tubing; Annexin A5; Extracellular vesicle; Internal medicine; Biophysics; Immunology; Microvesicles; Membrane; Chemistry; Biochemistry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004646693,0.0001797128,0.0002694836,0.00005632181,0.00003915063,0.00001070125,0.000148301,0.0001729503,0.00003785783],"category_scores_gemma":[0.0001407856,0.0001686113,0.0001225399,0.00007384895,0.000151985,0.000004328846,0.0001081139,0.00007894666,0.00003846087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007958384,"about_ca_system_score_gemma":0.00002792558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007750451,"about_ca_topic_score_gemma":0.000006254397,"domain_scores_codex":[0.9985863,0.0003541383,0.0002535865,0.0004296016,0.0001061327,0.0002702301],"domain_scores_gemma":[0.9991072,0.0001532725,0.0001355964,0.0004928766,0.00002731464,0.00008371231],"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":[0.0005295901,0.00004924745,0.08706215,0.0001014481,0.00004984654,0.000004011132,0.00002214099,0.0002948443,0.9070506,0.0002134396,0.00004797767,0.004574709],"study_design_scores_gemma":[0.001271068,0.001250784,0.01258314,0.00001167569,0.00008191243,0.00001874923,0.00001828199,0.0009455868,0.9825625,0.000117829,0.0009589153,0.0001795852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964784,0.002570376,0.0003624801,0.00002880591,0.00006599301,0.0003136306,0.000006745682,0.00001432685,0.0001592403],"genre_scores_gemma":[0.9989749,0.00002881647,0.0006203573,0.0001105208,0.00008905932,0.00001736949,0.00003112698,0.00002837062,0.00009945613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07551188,"threshold_uncertainty_score":0.6875768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005891958327952109,"score_gpt":0.2337605770120545,"score_spread":0.2278686186841024,"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."}}