{"id":"W3217571148","doi":"10.1002/smll.202104009","title":"Handheld Microfluidic Filtration Platform Enables Rapid, Low‐Cost, and Robust Self‐Testing of SARS‐CoV‐2 Virus","year":2021,"lang":"en","type":"article","venue":"Small","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Microfluidics; Immunoassay; Filtration (mathematics); Microfluidic chip; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Economic shortage; Throughput; Nanotechnology; Detection limit; Coronavirus disease 2019 (COVID-19); Chromatography; Materials science; Antibody; Computer science; Chemistry; Biology; Immunology; Medicine; Wireless","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004334619,0.0008101669,0.0004243968,0.0005204444,0.0002193454,0.0004597562,0.0008608592,0.0006561174,0.00128532],"category_scores_gemma":[0.0003851326,0.0003595673,0.0004046105,0.0001449279,0.0002576325,0.0003210399,0.0005026217,0.0003396721,0.0004744799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004538116,"about_ca_system_score_gemma":0.0005706786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005463098,"about_ca_topic_score_gemma":0.000840953,"domain_scores_codex":[0.9995295,0.00005392889,0.0000300317,0.0001125526,0.0002158886,0.00005814416],"domain_scores_gemma":[0.9997799,0.00005638583,0.00005741679,0.00002630031,0.00004931741,0.00003059812],"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":[0.0001255744,0.00008563535,0.0006708759,0.0001352751,0.00003486709,0.0001488143,0.00001799747,0.0004761444,0.9764424,0.0003948245,0.001302854,0.02016465],"study_design_scores_gemma":[0.00005364486,0.0005367349,0.005158858,0.00001637389,0.00006569541,0.0007951174,0.00001100228,0.00744554,0.9702046,0.000135667,0.01551603,0.00006074964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.66052,0.01288673,0.3031546,0.001190098,0.001808965,0.001148509,0.002653301,0.006872802,0.009764994],"genre_scores_gemma":[0.8294328,0.002153108,0.1560752,0.000856278,0.0002825017,0.0006150596,0.001420953,0.0000636062,0.009100462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00128532,"threshold_uncertainty_score":0.004299819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1026688898080298,"score_gpt":0.2793791989415581,"score_spread":0.1767103091335283,"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."}}