{"id":"W4244379651","doi":"10.21065/advfoonutrsci.4.8","title":"REGULATORY COMPLIANCE AND STANDARD LABORATORY TESTS CAN POTENTIALLY IMPROVE THE PUBLIC HEALTH AND FOOD SAFETY","year":2020,"lang":"en","type":"article","venue":"Advanced Food and Nutritional Sciences","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Food safety; Accreditation; Marketing; Product (mathematics); Quality (philosophy); Food processing; Blueprint; Food packaging; Food spoilage; Government (linguistics); Risk analysis (engineering); Biotechnology; Engineering; Medicine; Food science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003722063,0.0001294594,0.0001720606,0.000009027114,0.001252324,0.000130503,0.0001744031,0.0000354231,0.00001200999],"category_scores_gemma":[0.0000633301,0.0000529988,0.00002540716,0.0003843556,0.000780148,0.0002998945,0.0001031054,0.0001115085,4.785711e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001293802,"about_ca_system_score_gemma":0.00007178951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008883399,"about_ca_topic_score_gemma":0.0004585892,"domain_scores_codex":[0.9987077,0.00008370573,0.0001893182,0.0004164204,0.000300341,0.0003024789],"domain_scores_gemma":[0.9992937,0.0001725888,0.00009530132,0.00003458836,0.00007461943,0.0003291751],"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":[0.0005567518,0.0002066325,0.006445263,0.0002312716,0.00009582618,0.000005660364,0.001198262,0.00001653083,0.1020843,0.141148,0.0008726388,0.7471389],"study_design_scores_gemma":[0.003386617,0.03844921,0.4718389,0.000297292,0.00002719278,0.00008062238,0.009758812,0.0002271595,0.002507302,0.03939323,0.4327125,0.001321218],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.804757,0.01333031,0.00002170815,0.1805093,0.00006974502,0.0002733638,0.000897307,0.00004648384,0.00009477528],"genre_scores_gemma":[0.9927779,0.001595733,0.0008260265,0.004637023,0.0001273811,0.00001093282,0.00002046108,9.014446e-7,0.000003579794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7458177,"threshold_uncertainty_score":0.9631991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03873655507869516,"score_gpt":0.2467866535153655,"score_spread":0.2080500984366704,"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."}}