{"id":"W4386380010","doi":"10.3390/bios13090866","title":"Post-Assay Chemical Enhancement for Highly Sensitive Lateral Flow Immunoassays: A Critical Review","year":2023,"lang":"en","type":"review","venue":"Biosensors","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Russian Science Foundation","keywords":"Chromatography; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001454892,0.001688544,0.001467614,0.003019714,0.0004381834,0.001316488,0.001221106,0.001573905,0.003454124],"category_scores_gemma":[0.001642944,0.0007543144,0.0009228786,0.002867621,0.0005984352,0.002202155,0.0008626267,0.001965135,0.00274103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008728465,"about_ca_system_score_gemma":0.001647124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001141425,"about_ca_topic_score_gemma":0.001556352,"domain_scores_codex":[0.9993985,0.00008991124,0.0000726154,0.0001139852,0.0002690225,0.0000559878],"domain_scores_gemma":[0.9990375,0.0004915425,0.0001037289,0.00003050831,0.0002963058,0.0000404089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005689339,0.0001543652,0.0002214219,0.04633468,0.0001251785,0.0003611816,0.0001193759,0.0009310044,0.01265712,0.009206113,0.03372166,0.896111],"study_design_scores_gemma":[0.000007628767,0.000163586,0.0003757074,0.003101635,0.0001398761,0.0007242651,0.00005177681,0.0003260483,0.005393149,0.001693948,0.9879768,0.00004551005],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002650894,0.9958286,0.001542491,0.0002915716,0.0004326911,0.00002727885,0.00003712214,0.00002616845,0.001548977],"genre_scores_gemma":[0.001061322,0.9960572,0.001485353,0.0002637322,0.0001650759,0.0000324904,0.0000606838,0.000005505942,0.0008686578],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003454124,"threshold_uncertainty_score":0.01155519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04129531999576482,"score_gpt":0.3069273463300047,"score_spread":0.2656320263342399,"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."}}