{"id":"W4311688064","doi":"10.3390/mi13122232","title":"A Nitrocellulose Paper-Based Multi-Well Plate for Point-of-Care ELISA","year":2022,"lang":"en","type":"article","venue":"Micromachines","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Nitrocellulose; Immunoassay; Detection limit; Chromatography; Point of care; Materials science; Point-of-care testing; Fabrication; Laser; Nanotechnology; Chemistry; Antibody; Membrane; Optics; Immunology; Physics","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":[0.003170227,0.003051941,0.001807507,0.002689086,0.0007973789,0.001017988,0.005271316,0.00255384,0.006225412],"category_scores_gemma":[0.001515086,0.001516466,0.001409308,0.001151731,0.0005136034,0.001508255,0.001167249,0.002148428,0.009699527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004833317,"about_ca_system_score_gemma":0.0007089559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003296392,"about_ca_topic_score_gemma":0.0006570836,"domain_scores_codex":[0.9935862,0.00126455,0.0006532619,0.001399371,0.002835128,0.000261553],"domain_scores_gemma":[0.9985635,0.0004030424,0.0001500137,0.0003386783,0.000424076,0.0001206666],"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":[0.000101578,0.0002194197,0.0002648183,0.0003774114,0.00005184127,0.0001705752,0.00004710816,0.0002584523,0.9793348,0.0006030819,0.001955702,0.01661514],"study_design_scores_gemma":[0.00003937554,0.0004881579,0.001454078,0.00003795994,0.00008138177,0.001528573,0.000034533,0.009913478,0.9656956,0.000338867,0.0202972,0.00009081589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0396571,0.003815298,0.9324356,0.0005158252,0.001296757,0.002060455,0.001749278,0.01075112,0.007718706],"genre_scores_gemma":[0.0685119,0.002774346,0.9112355,0.0004178623,0.0002642514,0.003554903,0.002369059,0.0002577891,0.01061439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006225412,"threshold_uncertainty_score":0.02082604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007712885234602864,"score_gpt":0.2111112759800969,"score_spread":0.2033983907454941,"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."}}