{"id":"W4390298961","doi":"10.1016/j.foodhyd.2023.109697","title":"Release kinetics and biological properties of active films based on cellulose nanocrystal-chitosan in combination with γ-irradiation to mitigate microbial load in rice","year":2023,"lang":"en","type":"article","venue":"Food Hydrocolloids","topic":"Essential Oils and Antimicrobial Activity","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Emulsion; Chemistry; Bacterial growth; Zeta potential; Food science; Chitosan; Cellulose; Aspergillus niger; Polysaccharide; Glycosidic bond; Nuclear chemistry; Materials science; Bacteria; Nanotechnology; Nanoparticle; Biology; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001033167,0.0001307946,0.0001929851,0.00005582336,0.00004833868,0.00002472426,0.00008549012,0.00008041484,0.000006164557],"category_scores_gemma":[0.00005102446,0.00005741345,0.00003158762,0.0008017999,0.00006020883,0.00007412027,0.00004089754,0.0001020334,0.00000318669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000292456,"about_ca_system_score_gemma":0.00001702746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004159217,"about_ca_topic_score_gemma":0.001625165,"domain_scores_codex":[0.9990981,0.00009245377,0.000184211,0.0002764781,0.000141081,0.0002076688],"domain_scores_gemma":[0.9997272,0.00007211939,0.00007544589,0.00003652992,0.00002989064,0.00005878209],"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":[0.0004462814,0.0003981435,0.001513223,0.00001992536,0.000003221335,0.000005249273,0.0001619641,0.0005275459,0.9952973,0.00001300477,0.00002231515,0.001591841],"study_design_scores_gemma":[0.000679485,0.0027155,0.1773764,0.0001263969,0.000003705557,8.885155e-7,0.00009098311,0.00128673,0.8174559,0.00002627428,0.00007534835,0.0001623789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983674,0.000007825719,0.000001344691,0.0008130354,0.00003152533,0.0005879746,0.00005155097,0.00002866759,0.0001107162],"genre_scores_gemma":[0.9997428,0.000007895192,0.00002992704,0.00009548993,0.0000198527,0.0000390705,0.00003812131,0.000001670812,0.00002515113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1778414,"threshold_uncertainty_score":0.2341253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538585931216928,"score_gpt":0.1949431478699364,"score_spread":0.1795572885577672,"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."}}