{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005382379,0.0001209881,0.0001548503,0.0000702034,0.0001099545,0.00001105609,0.000095492,0.00003659309,0.0001834826],"category_scores_gemma":[0.00001022106,0.0001149147,0.0001363466,0.00011752,0.00001708191,0.00003279716,0.00002472387,0.000121052,0.000008924804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003800458,"about_ca_system_score_gemma":0.000006858329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002770578,"about_ca_topic_score_gemma":0.0000222759,"domain_scores_codex":[0.9994493,0.00001509894,0.0001705204,0.0001327838,0.00007248244,0.000159867],"domain_scores_gemma":[0.9997477,0.00004261575,0.00002455711,0.0001223296,0.00002652816,0.00003625546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007680943,0.00007496477,0.0003273914,0.0003778513,0.00004045785,0.000004388315,0.0002017396,0.01912685,0.9728552,0.00003352821,0.001049035,0.005831823],"study_design_scores_gemma":[0.002022562,0.000286714,0.0007531642,0.00002705809,0.0000726566,0.000007929252,0.0003073653,0.5939922,0.3612393,0.000160729,0.0407276,0.0004027813],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875816,0.001345674,0.009418943,0.0001083472,0.0003576603,0.0002837052,0.0002737117,0.0002381417,0.0003921805],"genre_scores_gemma":[0.9955878,0.000006676218,0.003945,0.0000925571,0.00004868838,0.00003386122,0.00006054082,0.00003463181,0.0001902424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6116159,"threshold_uncertainty_score":0.4686085,"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."}}