{"id":"W4413805514","doi":"10.1016/j.foodcont.2025.111684","title":"Effect of electric and electromagnetic fields treatments combined with modified atmosphere package on the storage quality of fresh-cut cucumbers (Cucumis sativus L.)","year":2025,"lang":"en","type":"article","venue":"Food Control","topic":"Magnetic and Electromagnetic Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Key Research and Development Program of China Stem Cell and Translational Research; Fundamental Research Funds for the Central Universities; Fairbank Center for Chinese Studies, Harvard University; Muscular Dystrophy Association","keywords":"Cucumis; Modified atmosphere; Quality (philosophy); Atmosphere (unit); Horticulture; Environmental science; Chemistry; Food science; Biology; Physics; Shelf life; Meteorology","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":[0.0003476181,0.0002746497,0.0004747776,0.00002432213,0.00007403058,0.0000130729,0.0001927101,0.0001709748,0.00002787147],"category_scores_gemma":[0.0001886453,0.0001755633,0.0001146128,0.0002049463,0.000127436,0.000002573569,0.00002929409,0.0001226478,7.172103e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001577088,"about_ca_system_score_gemma":0.00007893896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001368214,"about_ca_topic_score_gemma":0.0001665437,"domain_scores_codex":[0.9982902,0.0005578885,0.0002971512,0.0003468228,0.0001899323,0.0003180002],"domain_scores_gemma":[0.9987304,0.0004627574,0.0001789609,0.0005040324,0.00006640195,0.0000574782],"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":[0.008206174,0.0002307939,0.002883276,0.0002353114,0.0007680681,0.00000265937,0.00004740738,0.00005446694,0.9795368,0.001560992,0.0007086424,0.005765434],"study_design_scores_gemma":[0.01135696,0.102821,0.01153367,0.00006482436,0.0004224163,0.000004129068,0.00002029183,0.0007964817,0.8723676,0.000277448,0.0000682738,0.0002668962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916722,0.001617278,0.0005922208,0.0002309171,0.00003087891,0.001053399,0.00001962304,0.00001130988,0.004772218],"genre_scores_gemma":[0.9987744,0.00006961689,0.00002642765,0.0001935501,0.00001873962,0.0001343665,0.00001568096,0.00001666499,0.0007505506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1071691,"threshold_uncertainty_score":0.7159263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003666977037292142,"score_gpt":0.2273063055843312,"score_spread":0.2236393285470391,"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."}}