{"id":"W2062416787","doi":"10.1016/j.foodchem.2014.12.017","title":"Simultaneous detection of multi-allergens in an incurred food matrix using ELISA, multiplex flow cytometry and liquid chromatography mass spectrometry (LC–MS)","year":2014,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Food Allergy and Anaphylaxis Research","field":"Medicine","cited_by":106,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Casein; Multiplex; Gluten; Allergen; Chromatography; Chemistry; Food science; Food allergens; Food allergy; Flow cytometry; Soy protein; Gliadin; Allergy; Biology; Molecular biology; 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":[0.0009438845,0.0009612271,0.0006808768,0.001249878,0.0005642427,0.0008176152,0.0006705889,0.001098927,0.0007404216],"category_scores_gemma":[0.0008103247,0.0004217665,0.0004263255,0.0006231474,0.0003736643,0.0009172492,0.0006576185,0.0009096201,0.0005837727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000573551,"about_ca_system_score_gemma":0.0007006824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000555997,"about_ca_topic_score_gemma":0.001410969,"domain_scores_codex":[0.9989483,0.0001263013,0.00005944944,0.0003859266,0.000372043,0.0001080596],"domain_scores_gemma":[0.9993856,0.0001726661,0.0001319591,0.00005591563,0.0001863988,0.00006740559],"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":[0.000101807,0.00006317064,0.000941305,0.00004849391,0.00002319479,0.00003958033,0.00002049808,0.00007949364,0.9933506,0.00008402459,0.000087423,0.00516043],"study_design_scores_gemma":[0.00001679651,0.0002122605,0.005428937,0.00001050453,0.00003931441,0.0005117729,0.00002626305,0.004780454,0.9874184,0.0003192122,0.001211855,0.00002414924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6558781,0.004462206,0.3308786,0.0005586528,0.0004699689,0.0006581873,0.001697012,0.001795035,0.00360203],"genre_scores_gemma":[0.6440135,0.001978173,0.345952,0.001073452,0.0001925524,0.0008269039,0.001176036,0.00008530368,0.004702016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001249878,"threshold_uncertainty_score":0.00499177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01931279181310248,"score_gpt":0.2901874305602221,"score_spread":0.2708746387471196,"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."}}