{"id":"W2589375820","doi":"10.1111/1750-3841.13653","title":"Structural, Thermal, Physical, Mechanical, and Barrier Properties of Chitosan Films with the Addition of Xanthan Gum","year":2017,"lang":"en","type":"article","venue":"Journal of Food Science","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministério da Ciência e Tecnologia; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Mountain Equipment Co-operative","keywords":"Xanthan gum; Chitosan; Thermal; Chemical engineering; Chemistry; Materials science; Composite material; Rheology; Thermodynamics; Physics; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005458016,0.0001243372,0.0002939505,0.00008899512,0.0006608789,0.000240006,0.001193787,0.00002409665,0.00002207685],"category_scores_gemma":[0.0001527467,0.00006080959,0.00006365388,0.0001445491,0.002037348,0.001209197,0.0001934523,0.0001536334,5.363306e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007311246,"about_ca_system_score_gemma":0.0001976647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001548585,"about_ca_topic_score_gemma":0.000004310056,"domain_scores_codex":[0.9984499,0.00005081835,0.0003124602,0.00017527,0.0007854789,0.0002261399],"domain_scores_gemma":[0.9980291,0.00004082022,0.001169824,0.0004548731,0.000203358,0.0001020682],"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":[0.00008683447,0.00002415624,0.00008216004,0.00002447971,0.0000111951,0.000001452245,0.0009274674,0.00004634358,0.9982798,0.0002709213,0.00001679176,0.000228463],"study_design_scores_gemma":[0.0002992884,0.001265136,0.003023061,0.0002285735,0.00003301709,0.00007580655,0.0004116369,0.0003455225,0.9941149,0.0001093898,0.00000624285,0.00008740907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990194,0.00009622105,0.00002088359,0.0003555393,0.0001897323,0.0001280727,0.00001998608,0.000004704392,0.0001654841],"genre_scores_gemma":[0.99911,0.000006271757,0.0007799002,0.00001936097,0.0000721416,0.000001601334,9.341758e-8,0.000007645359,0.000002984973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004164818,"threshold_uncertainty_score":0.7506695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01978438679333309,"score_gpt":0.2459859523350856,"score_spread":0.2262015655417525,"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."}}