{"id":"W4306762969","doi":"10.1016/j.ijbiomac.2022.10.146","title":"Incorporation of Thymus vulgaris essential oil and ethanolic extract of propolis improved the antibacterial, barrier and mechanical properties of corn starch-based films","year":2022,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"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":"Composite number; Propolis; Ultimate tensile strength; Essential oil; Materials science; Starch; Food packaging; Antimicrobial; Solubility; Food science; Chemistry; Chemical engineering; Composite material; Organic chemistry","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":[0.000771734,0.0001241528,0.0003230121,0.0001280924,0.00007510547,0.00004135724,0.0004667022,0.00005810993,0.0001399929],"category_scores_gemma":[0.00022427,0.00007484896,0.00009767011,0.00008481715,0.0005208627,0.0001127245,0.0003251389,0.0001795783,1.864173e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002319836,"about_ca_system_score_gemma":0.0001213375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009835193,"about_ca_topic_score_gemma":0.000004140377,"domain_scores_codex":[0.9981954,0.0003364951,0.0007330935,0.0001610146,0.0004487026,0.0001253201],"domain_scores_gemma":[0.9982852,0.0001325988,0.001048496,0.0001062476,0.0003777397,0.00004975812],"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":[0.001546584,0.0001621992,0.0006094548,0.00003341832,0.00005833317,0.00001354251,0.0002233123,0.00002846586,0.9951733,0.0002964526,0.000004047657,0.001850872],"study_design_scores_gemma":[0.0007000479,0.001264592,0.001232992,0.00007439553,0.00002761044,0.0001399976,0.0002203635,0.0003894643,0.9954007,0.0004270458,0.00003934115,0.00008349308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983083,0.0003770766,0.00030234,0.0003399344,0.000359954,0.00009215064,0.0002023816,0.000005647257,0.00001220109],"genre_scores_gemma":[0.9980037,0.00007999412,0.001785623,0.00005165493,0.00005058362,0.000006364668,0.00001025562,0.000007873957,0.000003917206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001767379,"threshold_uncertainty_score":0.3052252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866407444246489,"score_gpt":0.2521380953427697,"score_spread":0.2334740209003048,"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."}}