{"id":"W4408391830","doi":"10.1016/j.bios.2025.117347","title":"Corrigendum to “Genetically engineered integrated aflatoxin B1 and deoxynivalenol bispecific nanobody as surrogate antigens for constructed time resolved immune dual detection methods” [Biosens. Bioelectron. 273 (2025) 117137]","year":2025,"lang":"en","type":"erratum","venue":"Biosensors and Bioelectronics","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Genetically engineered; Immune system; Aflatoxin; Antigen; Dual (grammatical number); Biology; Chemistry; Immunology; Biotechnology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004795629,0.001042429,0.001016485,0.0004507919,0.0005056135,0.0001714318,0.0003417411,0.001691033,0.00001526829],"category_scores_gemma":[0.0003985723,0.001008284,0.0003180663,0.0007474333,0.0004275663,0.000009313763,0.000315325,0.0008300149,0.000008591006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001599547,"about_ca_system_score_gemma":0.0006820383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005097177,"about_ca_topic_score_gemma":0.00008677377,"domain_scores_codex":[0.9956207,0.0002173923,0.000899423,0.001777954,0.0002313387,0.001253206],"domain_scores_gemma":[0.997645,0.00008212346,0.000376448,0.0009351905,0.0006225538,0.0003387138],"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":[0.0004203907,0.00007757213,0.000001910773,0.00009566287,0.0002900577,0.000004719154,0.00001418427,0.000001697313,0.9290532,0.0004189473,0.04559581,0.0240258],"study_design_scores_gemma":[0.000534496,0.001498436,0.00002443683,0.0001032118,0.0001633018,0.00008378395,0.00003636883,0.0007150446,0.5429278,0.0002860867,0.4528424,0.000784561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5102826,0.1003532,0.3276722,0.005868747,0.01911405,0.02239225,0.008232753,0.002468242,0.003615941],"genre_scores_gemma":[0.234239,0.08648143,0.368279,0.001681664,0.003776825,0.0009541746,0.0204633,0.001178443,0.2829461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4072466,"threshold_uncertainty_score":0.999605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009945686866699714,"score_gpt":0.2876921373343456,"score_spread":0.2777464504676459,"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."}}