{"id":"W2385011645","doi":"","title":"To find out the key points of food allergen management by analyzing the foreign warning information","year":2012,"lang":"en","type":"article","venue":"Science and Technology of Food Industry","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food allergens; European union; Allergen; Food labeling; Business; Snack food; Key (lock); Food products; International trade; Computer security; Computer science; Food science; Chemistry; Biology; Allergy; Immunology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002466127,0.0004399318,0.0002752062,0.001129902,0.000325623,0.0008688825,0.0001975916,0.0003291357,0.002167989],"category_scores_gemma":[0.004694318,0.0001069796,0.0005132149,0.0009919448,0.0003703592,0.001118227,0.0003536835,0.0006326803,0.0003877937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003486925,"about_ca_system_score_gemma":0.0006261942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002722155,"about_ca_topic_score_gemma":0.003096819,"domain_scores_codex":[0.9991685,0.0003208301,0.00005276426,0.0001814255,0.0001608494,0.000115681],"domain_scores_gemma":[0.9965509,0.001785493,0.0008727734,0.0002630033,0.0003980615,0.0001296321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005166229,0.0003695783,0.859491,0.0002713686,0.0004582021,0.0001615392,0.000942139,0.004166568,0.01639941,0.002278168,0.001399848,0.1135457],"study_design_scores_gemma":[0.00001302,0.0004741346,0.9656371,0.00004093805,0.0002521806,0.0001139195,0.002494142,0.01355214,0.01045907,0.00275863,0.004171096,0.00003365109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786443,0.0006189416,0.01565104,0.0005796779,0.00005591365,0.00008800261,0.0004997495,0.00006356321,0.003798918],"genre_scores_gemma":[0.9940502,0.000200927,0.004505775,0.00007796601,0.00001984523,0.00002131994,0.0002622727,0.000006878937,0.0008548294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002722155,"threshold_uncertainty_score":0.01304227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806197839417608,"score_gpt":0.257609787912302,"score_spread":0.2395478095181259,"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."}}