{"id":"W2621572276","doi":"10.1016/j.carbpol.2017.06.016","title":"Preparation of fungus-derived chitin nanocrystals and their dispersion stability evaluation in aqueous media","year":2017,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Fundamental Research Funds for the Central Universities; Chongqing Science and Technology Commission; National Natural Science Foundation of China","keywords":"Chitin; Dispersity; Dispersion (optics); Suspension (topology); Chemical engineering; Aqueous solution; Nanocrystal; Hydrolysis; Chemistry; DLVO theory; Colloid; Viscosity; Nanotechnology; Materials science; Chitosan; Organic chemistry; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002076119,0.0001922446,0.0001358108,0.0001561443,0.0001623489,0.0002116594,0.0001362987,0.0001951576,0.0003860658],"category_scores_gemma":[0.0002843813,0.0001162518,0.0001357414,0.0001620073,0.00009965663,0.0001943805,0.0001300223,0.0003167508,0.0001362952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002354299,"about_ca_system_score_gemma":0.000183718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001686649,"about_ca_topic_score_gemma":0.003226331,"domain_scores_codex":[0.9998772,0.00001211712,0.0000131073,0.00003400437,0.00004556602,0.00001804334],"domain_scores_gemma":[0.9998775,0.00002454051,0.00002429516,0.0000136514,0.00004116713,0.00001895244],"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":[0.00002683122,0.000008973884,0.00005551102,0.00001691983,0.000001653614,0.00002022813,0.00001204865,0.00005023542,0.9988346,0.00002527774,0.00000951275,0.0009383664],"study_design_scores_gemma":[0.000002243208,0.00003510659,0.0004095309,0.000001340007,0.000003353683,0.00001782286,0.00000575899,0.0003087608,0.9989223,0.000004627284,0.000287096,0.000002028871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904231,0.0006464635,0.006916832,0.00002484935,0.000016625,0.00005715948,0.0001952615,0.00003980291,0.001679951],"genre_scores_gemma":[0.9879537,0.0004778199,0.00913387,0.00001330413,0.000004512402,0.00005487599,0.0002602595,0.00002559302,0.002076086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001686649,"threshold_uncertainty_score":0.003353655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351026873300355,"score_gpt":0.2846676594735381,"score_spread":0.2611573907405346,"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."}}