{"id":"W3011381617","doi":"10.1093/jaoacint/qsz035","title":"Summary of the AOAC-Sponsored Workshop Series Related to the Global Understanding of Food Fraud (GUFF): Mobilization of Resources for Food Authenticity Assurance and Food Fraud Prevention and Mitigation","year":2020,"lang":"en","type":"review","venue":"Journal of AOAC International","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Queen's University; China National Center for Food Safety Risk Assessment; Canadian Food Inspection Agency; Queen's University Belfast; Université Laval; Danone","keywords":"Business; Mobilization; Nutrition Labeling; Marketing; Political science; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006011623,0.0001648728,0.0004301099,0.0001008499,0.00008563495,0.00004080974,0.0003675995,0.0002023449,0.00000550048],"category_scores_gemma":[0.0007691497,0.0001170364,0.0003136251,0.0002503234,0.0001725708,0.00002712339,0.0001008575,0.0001338306,1.277619e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005894877,"about_ca_system_score_gemma":0.0001548703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.773493e-7,"about_ca_topic_score_gemma":0.00002894412,"domain_scores_codex":[0.9980533,0.0002281592,0.001073457,0.0002133507,0.0003473473,0.00008434957],"domain_scores_gemma":[0.9970579,0.0001239723,0.002046093,0.0002024844,0.0005255842,0.00004395167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008232615,0.003740703,0.01006425,0.05566397,0.04322894,0.000002924115,0.01856731,0.003106846,0.04832781,0.4356633,0.02631616,0.3470852],"study_design_scores_gemma":[0.004303872,0.006775589,0.007273158,0.02098111,0.003409346,0.0003678749,0.005295496,0.0005773503,0.03108221,0.02293494,0.8959013,0.001097734],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2190256,0.733434,0.0369415,0.003109806,0.002231869,0.00263814,0.002350193,0.00001132141,0.0002575482],"genre_scores_gemma":[0.790335,0.2084066,0.0006743211,0.00002419495,0.0001482133,0.00002779728,0.000168583,0.00002360329,0.0001916913],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8695852,"threshold_uncertainty_score":0.4772605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04294788473111943,"score_gpt":0.3229674139732212,"score_spread":0.2800195292421017,"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."}}