{"id":"W2230703414","doi":"10.1039/c5lc01248a","title":"Deformability based sorting of red blood cells improves diagnostic sensitivity for malaria caused by Plasmodium falciparum","year":2016,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; 3v Geomatics (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Grand Challenges Canada; Canadian Blood Services","keywords":"Plasmodium falciparum; Malaria; Sorting; Red blood cell; Plasmodium (life cycle); Sensitivity (control systems); Cell sorting; Biology; Medicine; Immunology; Computer science; Flow cytometry; Parasite hosting; Engineering","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":[0.0003126358,0.0002893092,0.0002336875,0.0004072026,0.0001792302,0.0003869462,0.0002549498,0.0004758498,0.001415175],"category_scores_gemma":[0.0005330644,0.0001483441,0.0001361227,0.0002162395,0.0002648818,0.0002991151,0.0002838368,0.0004522559,0.0003996009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003498891,"about_ca_system_score_gemma":0.0002041664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008195681,"about_ca_topic_score_gemma":0.001497885,"domain_scores_codex":[0.9997844,0.00003466542,0.00001861025,0.00006719369,0.00006559647,0.00002955092],"domain_scores_gemma":[0.9997678,0.00009086881,0.00005235753,0.00002683637,0.00003749615,0.00002454587],"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":[0.0000350935,0.00001346129,0.0002183618,0.00001083233,0.000001580019,0.00001161761,0.000008992221,0.0001443019,0.9953498,0.00007775253,0.00005778727,0.004070394],"study_design_scores_gemma":[0.000007234012,0.00009491204,0.002979276,0.000002606416,0.000007856437,0.0001066866,0.00000838281,0.008025406,0.9875864,0.00007040031,0.001100652,0.00001022938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9329134,0.001126005,0.06173598,0.0004280671,0.00006084515,0.00005240401,0.0002101362,0.0008048203,0.00266833],"genre_scores_gemma":[0.9313339,0.0007251973,0.06464796,0.0004369815,0.00002778388,0.00004595432,0.0002565743,0.00006669476,0.002459018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001415175,"threshold_uncertainty_score":0.004734218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086552469734433,"score_gpt":0.2250818493956499,"score_spread":0.2142163246983055,"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."}}