{"id":"W4406063250","doi":"10.1016/j.bios.2025.117137","title":"Genetically engineered integrated aflatoxin B1 and deoxynivalenol bispecific nanobody as surrogate antigens for constructed time-resolved immunoassay dual detection methods","year":2025,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"National Natural Science Foundation of China; Department of Science and Technology of Shandong Province","keywords":"Immunoassay; Genetically engineered; Antigen; Aflatoxin; Genetically modified organism; Computational biology; Biology; Chemistry; Chromatography; Immunology; Biotechnology; Antibody; Genetics; Gene","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":[0.0003794243,0.0004501227,0.0002647339,0.0002465361,0.0001449594,0.0004360785,0.0005646952,0.0005919481,0.0004797234],"category_scores_gemma":[0.0002772501,0.0002896528,0.0002517392,0.0002441111,0.0002371041,0.0003237203,0.000319025,0.0007196698,0.0003983767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005514275,"about_ca_system_score_gemma":0.0001707459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002364174,"about_ca_topic_score_gemma":0.0004627641,"domain_scores_codex":[0.9996549,0.00005184276,0.00002871232,0.0001027795,0.0001073079,0.00005455895],"domain_scores_gemma":[0.9998325,0.00002963136,0.00006432228,0.00002031151,0.00002885268,0.00002437009],"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":[0.00001535082,0.000007374743,0.00003993609,0.00001029402,0.000001534005,0.000007998172,0.000007652776,0.00004748186,0.9992546,0.0001028148,0.000007921321,0.0004969675],"study_design_scores_gemma":[0.00000158613,0.00001494123,0.0001012824,8.791056e-7,0.000002367707,0.00002480057,0.000003624366,0.0005552588,0.9988449,0.00001753605,0.0004312533,0.000001597399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.882476,0.0009531422,0.1146342,0.000152635,0.00007488561,0.00006781093,0.0002213101,0.0003720776,0.001047755],"genre_scores_gemma":[0.9334554,0.0005998281,0.06131558,0.0001159459,0.00001105325,0.0001011711,0.0005101156,0.00006234161,0.003828622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005919481,"threshold_uncertainty_score":0.004000962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00680874967948287,"score_gpt":0.2410684432628832,"score_spread":0.2342596935834003,"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."}}