{"id":"W4308933697","doi":"10.1002/ange.202215548","title":"Electrophoresis‐Assisted Multilayer Assembly of Nanoparticles for Sensitive Lateral Flow Immunoassay**","year":2022,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network; Sinai Health System; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Banting Research Foundation","keywords":"Detection limit; Electrophoresis; Colloidal gold; Streptavidin; Immunoassay; Chromatography; Nanoparticle; Materials science; Chemistry; Nanotechnology; Biotin; Medicine","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":[0.00009735064,0.0001113117,0.0001758852,0.00004468191,0.00009290453,0.00001220375,0.00006208063,0.00004525589,0.00004496332],"category_scores_gemma":[0.00001481441,0.0001110754,0.0001182273,0.0001493425,0.00002128005,0.00004097902,0.00002788606,0.0001173071,0.000002558947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007613521,"about_ca_system_score_gemma":0.000008321947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001509588,"about_ca_topic_score_gemma":0.000006202604,"domain_scores_codex":[0.9993377,0.00001458041,0.0001586453,0.0001329622,0.0001279473,0.0002281135],"domain_scores_gemma":[0.9997153,0.00005429488,0.00003006044,0.0001176151,0.00004238514,0.00004029873],"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":[0.00006579644,0.00002904097,0.00002991827,0.00003578523,0.0000704383,0.000004029971,0.0000876059,0.0009384806,0.9967527,0.00001254104,0.000927182,0.001046503],"study_design_scores_gemma":[0.0004038856,0.00008089172,0.001111494,0.00000674403,0.00003782755,0.000008994506,0.00006476958,0.01747556,0.9785783,0.00003887109,0.002057564,0.0001351043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986793,0.0001894385,0.0002460662,0.00006272765,0.0001324047,0.0001227907,0.00007472665,0.000103831,0.0003886754],"genre_scores_gemma":[0.9990751,0.00002075831,0.0005131505,0.0000328736,0.00004780538,0.00004079137,0.00002688697,0.00002710733,0.0002155701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01817439,"threshold_uncertainty_score":0.4529521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218526301847939,"score_gpt":0.216711531826411,"score_spread":0.2045262688079316,"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."}}