{"id":"W2075296706","doi":"10.1063/1.4817792","title":"Field tested milliliter-scale blood filtration device for point-of-care applications","year":2013,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Tech University; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Grand Challenges Canada","keywords":"Whole blood; Filtration (mathematics); Point of care; Aspartate transaminase; Antibody; HBsAg; Hepatitis B; Alanine transaminase; Point-of-care testing; Biomedical engineering; Medicine; Chromatography; Materials science; Immunology; Chemistry; Internal medicine; Pathology; Hepatitis B virus; Enzyme; Biochemistry; 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":[0.0007392629,0.0006239272,0.0003163573,0.0003920493,0.0003268216,0.0004887571,0.0007234084,0.0007355897,0.002847037],"category_scores_gemma":[0.001040854,0.0001329435,0.0002860182,0.0001847543,0.0002718009,0.0005001084,0.0002610743,0.0004190649,0.0007349969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004258291,"about_ca_system_score_gemma":0.000393813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004057478,"about_ca_topic_score_gemma":0.0004633092,"domain_scores_codex":[0.9995202,0.0001031253,0.000037169,0.0001044981,0.0001992644,0.00003580837],"domain_scores_gemma":[0.9992459,0.0003117378,0.0001017338,0.00008079469,0.0002094134,0.00005044476],"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":[0.000122503,0.0001510901,0.001252558,0.0002240283,0.00001543235,0.0001026373,0.00006387474,0.0002427687,0.9766972,0.0003790812,0.0012539,0.01949492],"study_design_scores_gemma":[0.00003009662,0.0007213432,0.003461987,0.00002888309,0.00003698194,0.0004610813,0.00005696496,0.00391048,0.9790613,0.0001836697,0.01201888,0.00002837602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5900863,0.008073934,0.3844537,0.002163223,0.001788956,0.001609104,0.001669073,0.003799904,0.00635583],"genre_scores_gemma":[0.7895073,0.001762742,0.2003472,0.001006306,0.0002654148,0.0006436498,0.001065725,0.00009004038,0.005311588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002847037,"threshold_uncertainty_score":0.009524345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008276645465031002,"score_gpt":0.2111373443785712,"score_spread":0.2028606989135402,"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."}}