{"id":"W4390114689","doi":"10.3390/bios14010006","title":"Faradaic Impedimetric Immunosensor for Label-Free Point-of-Care Detection of COVID-19 Antibodies Using Gold-Interdigitated Electrode Array","year":2023,"lang":"en","type":"article","venue":"Biosensors","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Canadian Food Inspection Agency; University of Calgary; University of Alberta","funders":"Alberta Innovates; Mitacs","keywords":"Biosensor; Analyte; Point-of-care testing; Nanotechnology; Detection limit; Electrode; Faradaic current; Chromatography; Chemistry; Materials science; Electrochemistry; Working electrode; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004882081,0.0006799223,0.0004605545,0.0004245543,0.0001973404,0.0003904084,0.001122353,0.000807277,0.000583638],"category_scores_gemma":[0.000580063,0.0004567901,0.0004231572,0.0002522962,0.0002021901,0.0004797175,0.0004372013,0.0007221451,0.0005165262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000453781,"about_ca_system_score_gemma":0.0002968359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004727808,"about_ca_topic_score_gemma":0.0009515392,"domain_scores_codex":[0.999234,0.0001036715,0.00006888958,0.0002044743,0.0003346888,0.00005431009],"domain_scores_gemma":[0.99978,0.00005759305,0.00003718806,0.00002620715,0.00008204184,0.00001703258],"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":[0.00001935117,0.00002208975,0.0001081597,0.00004958617,0.000006167466,0.00003018398,0.00001455086,0.0001092261,0.9966012,0.00008509565,0.00005781663,0.002896443],"study_design_scores_gemma":[0.000003883716,0.00007959142,0.000519234,0.000003097668,0.000008226306,0.0001013968,0.000007256311,0.002935271,0.995529,0.00002589037,0.0007760417,0.00001108995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6323524,0.005879591,0.35118,0.0006564283,0.0006776102,0.0004181509,0.000727148,0.002620594,0.005488154],"genre_scores_gemma":[0.7008598,0.002254484,0.2905605,0.0003817941,0.00007655817,0.0002765798,0.0005327043,0.00006111398,0.004996588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001122353,"threshold_uncertainty_score":0.003292441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250378109423959,"score_gpt":0.3196628000510354,"score_spread":0.2971590189567958,"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."}}