{"id":"W2024216641","doi":"10.1007/s00216-009-2943-1","title":"Emerging analytical methods to determine gluten markers in processed foods—method development in support of standard setting","year":2009,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Celiac Disease Research and Management","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Gluten; Declaration; Biotechnology; Risk analysis (engineering); Computer science; Business; Food science; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001759898,0.0002908968,0.000849598,0.0003381983,0.00003439007,0.00004172035,0.0001644548,0.0001521652,0.0003264845],"category_scores_gemma":[0.001280703,0.0002423282,0.0001559712,0.001177252,0.0001302731,0.00007670667,0.0001743013,0.0003813062,0.000004183761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002067388,"about_ca_system_score_gemma":0.0003498737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001545491,"about_ca_topic_score_gemma":0.000009809046,"domain_scores_codex":[0.9968832,0.00006860333,0.0009315904,0.0006745764,0.0006725587,0.0007695408],"domain_scores_gemma":[0.9983552,0.0002282926,0.00006580737,0.0002913344,0.000149922,0.0009094158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006656775,0.002391865,0.05596669,0.004074846,0.0007125242,0.002134572,0.0003117036,0.00006635096,0.02214008,0.001064198,0.002355804,0.9021246],"study_design_scores_gemma":[0.02009599,0.003886241,0.3472038,0.00265926,0.002172437,0.000280682,0.00234608,0.3105029,0.2214057,0.00267603,0.08341409,0.003356769],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8826168,0.0004911153,0.02870857,0.03904595,0.000032085,0.001572808,0.00003245479,0.0001160466,0.04738414],"genre_scores_gemma":[0.9248974,0.00006134572,0.07290451,0.001089177,0.00006224461,0.00001886158,0.00003499331,0.00002016033,0.00091133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8987678,"threshold_uncertainty_score":0.9881855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.021245039735659,"score_gpt":0.3840808042543476,"score_spread":0.3628357645186886,"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."}}