{"id":"W2072187539","doi":"10.1016/j.biortech.2010.02.046","title":"Synergistic effects of chitosan–guanidine complexes on enhancing antimicrobial activity and wet-strength of paper","year":2010,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":95,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; China Postdoctoral Science Foundation","keywords":"Chitosan; Guanidine; Antimicrobial; Chemistry; Hydrochloride; Nuclear chemistry; Polymer; Escherichia coli; Antibacterial activity; Staphylococcus aureus; Organic chemistry; Biochemistry; Bacteria; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002061444,0.000590972,0.0003404883,0.0002223402,0.0001453012,0.0002813983,0.0002821473,0.0003831325,0.001070457],"category_scores_gemma":[0.0002984028,0.0002823467,0.0002829393,0.0001784385,0.0002076778,0.0002528746,0.0002133515,0.0003393943,0.0001513318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001912394,"about_ca_system_score_gemma":0.0001815955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007321977,"about_ca_topic_score_gemma":0.001609982,"domain_scores_codex":[0.9998253,0.0000371237,0.00002251997,0.00003501365,0.0000371768,0.00004293257],"domain_scores_gemma":[0.9998015,0.00005919719,0.00004153793,0.0000145164,0.00003463713,0.00004855507],"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":[0.0003410441,0.00002975306,0.00003676276,0.00005690389,0.000008727709,0.00003510284,0.000009823361,0.00007031338,0.9983651,0.00001961096,0.00001557863,0.001011341],"study_design_scores_gemma":[0.0000119486,0.000191459,0.0002827582,0.000001819976,0.00002005093,0.00003163088,0.000003329923,0.000209682,0.9990458,0.000003224143,0.0001952944,0.00000304489],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952323,0.002236728,0.00126296,0.00003466501,0.00005720611,0.00003068419,0.00004456878,0.00004004958,0.001060879],"genre_scores_gemma":[0.9965274,0.0007592252,0.001731707,0.0000282013,0.00002378096,0.00001583127,0.00003864127,0.00001283606,0.0008623443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001070457,"threshold_uncertainty_score":0.003581107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003559148142680671,"score_gpt":0.2137646954822135,"score_spread":0.2102055473395328,"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."}}