{"id":"W4409348390","doi":"10.1016/j.tifs.2025.105016","title":"Enzyme- and nanozyme-based food allergen detections: from natural biocatalysts to rational engineering approaches","year":2025,"lang":"en","type":"article","venue":"Trends in Food Science & Technology","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; National University's Basic Research Foundation of China","keywords":"Food allergens; Biochemical engineering; Natural (archaeology); Allergen; Enzyme; Chemistry; Environmental science; Biology; Biochemistry; Engineering; Allergy; Immunology","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":[0.001045358,0.001181025,0.001101736,0.001309666,0.0002332641,0.001128107,0.0007321743,0.0009148542,0.0008517507],"category_scores_gemma":[0.0007383515,0.0006729955,0.0009648564,0.001120201,0.0005920641,0.001536086,0.0008348902,0.001812047,0.001120392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000847592,"about_ca_system_score_gemma":0.0006900385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005773291,"about_ca_topic_score_gemma":0.00107801,"domain_scores_codex":[0.9995219,0.00008446149,0.00005369652,0.0001020779,0.0001863385,0.00005156335],"domain_scores_gemma":[0.999805,0.00005904539,0.00003773214,0.00001811835,0.0000635477,0.00001646554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001445779,0.000290649,0.0007209447,0.02339771,0.0002990164,0.00105767,0.0003611435,0.005826572,0.5126841,0.03383243,0.007473393,0.4139118],"study_design_scores_gemma":[0.00005097408,0.0006453232,0.00121811,0.001783288,0.0002316336,0.0016656,0.0001924476,0.006379069,0.3534362,0.01157258,0.6226642,0.0001605341],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02039614,0.8762121,0.09029489,0.001812348,0.001105119,0.0002694823,0.0003171925,0.0003421969,0.009250421],"genre_scores_gemma":[0.07039657,0.8578148,0.06377264,0.001056323,0.000315883,0.0003419326,0.0005192591,0.00009024722,0.005692372],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001309666,"threshold_uncertainty_score":0.006149769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162682231550435,"score_gpt":0.2600032740069589,"score_spread":0.2383764516914546,"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."}}