{"id":"W2318744170","doi":"10.4315/0362-028x.jfp-14-210","title":"Influence of Temperature, Glucose, and Iron on Sinigrin Degradation by Salmonella and Listeria monocytogenes","year":2014,"lang":"en","type":"article","venue":"Journal of Food Protection","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Sinigrin; Myrosinase; Glucosinolate; Listeria monocytogenes; Allyl isothiocyanate; Food science; Chemistry; Salmonella; Ferrous; Ferric; Hydrolysis; Biochemistry; Microbiology; Biology; Bacteria; Brassica; Botany","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001508887,0.00008523003,0.0001216633,0.0000406193,0.00003625382,0.00001699404,0.00004741736,0.00009787808,4.301046e-7],"category_scores_gemma":[0.00008642229,0.00007381313,0.00002739576,0.00003198902,0.00004692621,0.000008834149,0.00002096889,0.00008491692,1.250795e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007893213,"about_ca_system_score_gemma":0.00001243313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005799936,"about_ca_topic_score_gemma":0.000004483811,"domain_scores_codex":[0.999481,0.00005740094,0.0002042063,0.0001203819,0.00007135435,0.00006561176],"domain_scores_gemma":[0.9995106,0.000008037573,0.0002543907,0.00008082529,0.0001033607,0.00004271351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002793795,0.00002661089,0.0005023896,0.00003657054,0.00001880146,8.365358e-8,0.00002181988,0.0001239931,0.995141,0.000007483671,0.00004811076,0.003793784],"study_design_scores_gemma":[0.0004468869,0.002018354,0.01024107,0.00003624665,0.00001213119,0.00002683927,0.0000197628,0.00001217695,0.9861223,0.0001775292,0.0008139075,0.00007287845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984294,0.0009626638,0.0003635131,0.00005879889,0.00004044251,0.0001117245,0.000007926568,0.000001433591,0.00002413535],"genre_scores_gemma":[0.9991601,0.0004056989,0.00025492,0.00003508783,0.0001118536,0.000003269758,0.000005460508,0.000007156429,0.00001650914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009738677,"threshold_uncertainty_score":0.3010013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009630748539553657,"score_gpt":0.2225931823094101,"score_spread":0.2129624337698565,"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."}}