{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000225558,0.0001491375,0.0002634597,0.0001042728,0.0001079396,0.00003641308,0.0000430008,0.0001125048,0.00003046566],"category_scores_gemma":[0.0007422945,0.0001454856,0.00005900603,0.000327525,0.0000449218,0.00009425341,0.00004254661,0.0001894152,0.00001337405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004139548,"about_ca_system_score_gemma":0.0001597841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001856348,"about_ca_topic_score_gemma":0.0001013722,"domain_scores_codex":[0.9990061,0.00002700734,0.0003248975,0.0002706435,0.0001378142,0.0002335277],"domain_scores_gemma":[0.9991797,0.0002294347,0.0001214349,0.0002018157,0.000218252,0.00004932603],"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":[0.00003976463,0.00008505078,0.004308514,0.0002300585,0.00004218298,0.00007331406,0.000254267,0.000002229754,0.9803849,0.00002316493,0.000310968,0.01424554],"study_design_scores_gemma":[0.001259238,0.0001379599,0.00208232,0.0003191528,0.00008526632,0.0005241042,0.0001910906,0.001143528,0.9903929,0.0000503465,0.003679899,0.0001342353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991816,0.002416948,0.00105832,0.00008699609,0.0001689773,0.0002259603,0.000007089317,0.0001436115,0.00407605],"genre_scores_gemma":[0.9868126,0.0001632108,0.01148491,0.001112027,0.0002202346,0.00001404504,0.00002062788,0.00003393068,0.0001383929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0141113,"threshold_uncertainty_score":0.5932729,"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."}}