{"id":"W2891481665","doi":"10.1021/acsami.8b08770","title":"Developing Antibacterial Nanocrystalline Cellulose Using Natural Antibacterial Agents","year":2018,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Antimicrobial agents and applications","field":"Chemistry","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"FPInnovations; Natural Sciences and Engineering Research Council of Canada; Faculty of Engineering, McGill University; McGill University","keywords":"Nisin; Lysozyme; Nanocellulose; Antibacterial activity; Bacterial cellulose; Chemistry; Bacteriocin; Nanocarriers; Bacteria; Cellulose; Staphylococcus aureus; Combinatorial chemistry; Materials science; Antimicrobial; Organic chemistry; Drug delivery; Biochemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001574302,0.0004461334,0.0004936492,0.00006761678,0.0003533633,0.0004536788,0.0005978098,0.0002214784,0.005326609],"category_scores_gemma":[0.00001434449,0.0004096482,0.00003130623,0.0001327719,0.0002812111,0.0001995638,0.0004805587,0.000125442,0.0003675187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001106559,"about_ca_system_score_gemma":0.00008299528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001226946,"about_ca_topic_score_gemma":0.00001133418,"domain_scores_codex":[0.9977881,0.00002244049,0.0007258662,0.0006578265,0.0002086718,0.00059712],"domain_scores_gemma":[0.9989433,0.00002345892,0.0003959743,0.0004372677,0.0001254212,0.00007452808],"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":[0.0002779677,0.00006816712,0.00001374853,0.000101759,0.00008036162,0.000003287724,0.0002226663,9.228515e-7,0.9972876,0.000969196,0.0005901238,0.0003842491],"study_design_scores_gemma":[0.0006933134,0.0000172567,0.00005606284,0.0001193971,0.00005518316,0.0000153061,0.00008184286,0.000004800663,0.991802,0.000168327,0.006469675,0.0005168347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960043,0.00001615403,0.0002175348,0.00008652446,0.001687533,0.000238269,0.0002238637,0.000206498,0.001319251],"genre_scores_gemma":[0.9933077,0.00003158307,0.00307368,0.0001977664,0.002319659,0.00001982232,0.0003235725,0.00008447439,0.0006417167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005879551,"threshold_uncertainty_score":0.9998356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02882195595488794,"score_gpt":0.2795871798165425,"score_spread":0.2507652238616545,"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."}}