{"id":"W2014587531","doi":"10.1108/00070701011052718","title":"Applying quality function deployment in food safety management","year":2010,"lang":"en","type":"article","venue":"British Food Journal","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Pacific Railway (Canada); Penn West Exploration (Canada); University of Calgary","funders":"","keywords":"Quality function deployment; Software deployment; Process management; Product (mathematics); Quality (philosophy); Critical control point; Function (biology); Computer science; Risk analysis (engineering); Food safety; Process (computing); Operations management; New product development; Business; Marketing; Engineering; Software engineering","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":[0.0008831483,0.0001037757,0.0001541722,0.00001830284,0.0003649155,0.0001967705,0.0002179462,0.00007686843,0.0004367798],"category_scores_gemma":[0.00002008497,0.00005785062,0.0001104015,0.000233967,0.00002983182,0.0001963331,0.00007646559,0.0004693664,0.00001871005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003483686,"about_ca_system_score_gemma":0.000006324261,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001325153,"about_ca_topic_score_gemma":0.0215307,"domain_scores_codex":[0.998615,0.00009495093,0.0004262558,0.0002217571,0.0003085359,0.0003335165],"domain_scores_gemma":[0.9996142,0.00004009028,0.000121571,0.00004620774,0.00004281513,0.0001351055],"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":[0.00009987224,0.0001776351,0.003131903,0.000008374861,0.00003520148,0.00003357852,0.00001615715,0.000008484128,0.009676621,0.001394592,0.0005231869,0.9848944],"study_design_scores_gemma":[0.0007135872,0.0008262878,0.892171,0.00005595083,0.00001020301,0.0003489737,0.000389564,0.000008560691,0.0002221146,0.002730178,0.102303,0.0002205131],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943099,0.0002896979,0.00007638003,0.001038259,0.0006545172,0.0002857239,0.000024233,0.00006051712,0.003260753],"genre_scores_gemma":[0.9985954,0.0002125574,0.0003009871,0.0003490124,0.0004314359,0.00003637607,0.00001257863,0.000001346395,0.00006030144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9846739,"threshold_uncertainty_score":0.9963238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213560127359422,"score_gpt":0.2242080483611031,"score_spread":0.2028520356251609,"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."}}