{"id":"W2888872909","doi":"10.1111/trf.14782","title":"Screening of red blood cells for extracellular vesicle content as a product quality indicator","year":2018,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood transfusion and management","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Lions Gate Hospital; Canadian Blood Services; University of Alberta","funders":"Canadian Blood Services","keywords":"Hemolysis; Red blood cell; Filtration (mathematics); Extracellular vesicles; Biomedical engineering; Chemistry; Hemoglobin; Extracellular vesicle; Chromatography; Medicine; Biochemistry; Biology; Cell biology; Immunology; Mathematics","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":[0.00385782,0.0005069869,0.0003931666,0.0006740646,0.0001851041,0.001042394,0.0005488471,0.0004701362,0.0007640269],"category_scores_gemma":[0.004166183,0.0001404316,0.0003474455,0.0005162117,0.0005482406,0.0003757863,0.0004141495,0.000451116,0.0002669852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005146202,"about_ca_system_score_gemma":0.0003519326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005248297,"about_ca_topic_score_gemma":0.0003497064,"domain_scores_codex":[0.9969993,0.0009430323,0.0002958313,0.0003959173,0.001253695,0.000112344],"domain_scores_gemma":[0.9958541,0.00153229,0.001001438,0.0003514011,0.001184716,0.00007605128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001018145,0.0002384684,0.06412815,0.0003301514,0.0001160753,0.00009263552,0.0001742607,0.0008219447,0.9003581,0.0001828213,0.0001620068,0.03237723],"study_design_scores_gemma":[0.00001085048,0.001721918,0.04819867,0.00004315777,0.0001152615,0.0003125191,0.00007729092,0.001860953,0.9467789,0.00008967434,0.0007749718,0.00001588485],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97491,0.004115628,0.01918516,0.0001291846,0.0000279789,0.0001484911,0.0004963872,0.0001234585,0.0008637077],"genre_scores_gemma":[0.9787431,0.001028812,0.01877761,0.000111431,0.00001817398,0.00008340871,0.0007334722,0.00003314629,0.0004707151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00385782,"threshold_uncertainty_score":0.02040237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0633854115459203,"score_gpt":0.3077202040713278,"score_spread":0.2443347925254075,"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."}}