{"id":"W4377043242","doi":"10.3390/s23104810","title":"A Direct Immunoassay Based on Surface-Enhanced Spectroscopy Using AuNP/PS-b-P2VP Nanocomposites","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; University of Victoria","keywords":"Analyte; Surface modification; Biomolecule; Detection limit; Immunoassay; Biosensor; Colloidal gold; Chemistry; Covalent bond; Nanocomposite; Polystyrene; Substrate (aquarium); Nanoparticle; Aptamer; Chromatography; Materials science; Nanotechnology; Polymer; Organic chemistry; Antibody; Molecular biology","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":[0.0003034917,0.0009388711,0.0004053324,0.0003850686,0.0001300528,0.0005118237,0.0006806033,0.0008781157,0.0004569115],"category_scores_gemma":[0.0004100419,0.0004265839,0.0002398224,0.0002969537,0.0003301483,0.0003617738,0.0004098582,0.000651403,0.0004513838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003337096,"about_ca_system_score_gemma":0.0002137758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003333964,"about_ca_topic_score_gemma":0.000435285,"domain_scores_codex":[0.9994356,0.00009048144,0.00002663406,0.0001776538,0.0002331419,0.00003638484],"domain_scores_gemma":[0.9998649,0.00004757664,0.00002690589,0.00001019985,0.00003533553,0.00001508968],"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":[0.000009740265,0.000009597463,0.00004401292,0.00003593491,0.000003771936,0.00002416883,0.000005364746,0.00006686032,0.9976003,0.00004455675,0.0000206433,0.002135042],"study_design_scores_gemma":[0.000004110655,0.00007623866,0.0004155971,0.000002972711,0.000006903658,0.0001619157,0.000005277744,0.003030182,0.9955601,0.000044139,0.0006875147,0.000005111965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6108531,0.005911856,0.3764351,0.0003109438,0.0002365477,0.0003350953,0.0003669715,0.00224966,0.003300713],"genre_scores_gemma":[0.743202,0.002311619,0.2478261,0.0001408422,0.00005369986,0.0002680287,0.000355382,0.00006570509,0.005776573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009388711,"threshold_uncertainty_score":0.00242126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114080527652317,"score_gpt":0.2865550200628724,"score_spread":0.2751469672976407,"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."}}