{"id":"W2077013423","doi":"10.4236/jbnb.2012.33035","title":"Green Process for Impregnation of Silver Nanoparticles into Microcrystalline Cellulose and Their Antimicrobial Bionanocomposite Films","year":2012,"lang":"en","type":"article","venue":"Journal of Biomaterials and Nanobiotechnology","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Microcrystalline cellulose; Silver nanoparticle; Materials science; Nanocomposite; Cellulose; Microcrystalline; Transmission electron microscopy; Chemical engineering; Antimicrobial; Nanoparticle; Nuclear chemistry; Solvent; Nanotechnology; Organic chemistry; Chemistry; Crystallography","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":[0.0001276324,0.0004020119,0.0002478557,0.0002923665,0.0001455566,0.0001942285,0.0002654565,0.000328161,0.0006436721],"category_scores_gemma":[0.0001030622,0.000198086,0.0003009212,0.0001631418,0.0001321779,0.0002206491,0.0001937214,0.0006115699,0.0003345241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002447431,"about_ca_system_score_gemma":0.0002295408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006821085,"about_ca_topic_score_gemma":0.001413058,"domain_scores_codex":[0.9998659,0.00001051088,0.000008876834,0.00002595111,0.00006640715,0.00002240516],"domain_scores_gemma":[0.9999353,0.00001165161,0.00002252197,0.000007905126,0.00001160425,0.00001102678],"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":[0.000009293728,0.00001007277,0.0000231758,0.00003544114,0.000002091944,0.00004768885,0.000008873535,0.00002540562,0.9979455,0.00005332836,0.00002588385,0.001813266],"study_design_scores_gemma":[0.000001639009,0.00003186866,0.0002777365,0.000001971427,0.000003943473,0.0001049116,0.000003034152,0.0002170796,0.9980834,0.00001284102,0.001258891,0.000002753014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8466576,0.009992888,0.1329028,0.0004867519,0.0003016384,0.000241469,0.0004485252,0.0007749899,0.008193323],"genre_scores_gemma":[0.9041232,0.00304822,0.08122588,0.0001868161,0.00003639558,0.0001454476,0.0003033183,0.00007020075,0.01086042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006821085,"threshold_uncertainty_score":0.002153277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150848316194786,"score_gpt":0.248868749757162,"score_spread":0.2373602665952142,"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."}}