{"id":"W1988316234","doi":"10.1002/ajh.23476","title":"Microfluidic analysis of cellular deformability of normal and oxidatively damaged red blood cells","year":2013,"lang":"en","type":"article","venue":"American Journal of Hematology","topic":"Erythrocyte Function and Pathophysiology","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; University of British Columbia","funders":"Canadian Institutes of Health Research; Health Canada; Centre for Blood Research, University of British Columbia; Michael Smith Health Research BC; University of British Columbia; Government of Canada; Canadian Blood Services; Australian Government","keywords":"Red blood cell; Microfluidics; Chemistry; In vivo; Erythrocyte deformability; Whole blood; Biophysics; Venous blood; Biomedical engineering; Materials science; Biochemistry; Medicine; Biology; Immunology; Internal medicine; Nanotechnology","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":[0.0002746008,0.0001186629,0.001301927,0.0004514114,0.00002340302,0.000001797579,0.00008863808,0.00006322447,0.0003828605],"category_scores_gemma":[0.0001032908,0.00008967174,0.0002498659,0.00057915,0.0007901413,0.00007414748,0.00003478065,0.0002094718,0.000003069457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001094434,"about_ca_system_score_gemma":0.00008889139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001184347,"about_ca_topic_score_gemma":0.000002558965,"domain_scores_codex":[0.998525,0.0002313181,0.0008091364,0.0001317938,0.0001326143,0.0001700876],"domain_scores_gemma":[0.9979181,0.0002155636,0.001073096,0.0002138278,0.0004439768,0.0001354724],"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":[0.0003596976,0.0002551507,0.1069633,0.00007921761,0.001381835,0.00002573872,0.0003950518,0.000002573135,0.8892723,0.0000383837,0.0004037356,0.0008230688],"study_design_scores_gemma":[0.001873272,0.00410335,0.1954414,0.00004247036,0.002941695,0.0008630208,0.001944998,0.00006493725,0.792377,0.00006901204,0.0001633826,0.0001154358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977331,0.0008942802,0.0007417005,0.0003635443,0.00006214398,0.00009456767,0.000005350003,0.000003895288,0.0001014794],"genre_scores_gemma":[0.9965883,0.0005241246,0.002649266,0.0001860033,0.00001781174,0.000001401361,0.00000539198,0.000007317286,0.00002034768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0968953,"threshold_uncertainty_score":0.4192054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007802928624233493,"score_gpt":0.2328057369597282,"score_spread":0.2250028083354947,"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."}}