{"id":"W2108597109","doi":"10.1002/jbm.a.34419","title":"Development of silver nanoparticle loaded antibacterial polymer mesh using plasma polymerization process","year":2012,"lang":"en","type":"article","venue":"Journal of Biomedical Materials Research Part A","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Materials science; X-ray photoelectron spectroscopy; Polyacrylic acid; Polyethylene terephthalate; Fourier transform infrared spectroscopy; Polymerization; Polymer; Nuclear chemistry; Plasma polymerization; Chemical engineering; Nanoparticle; Silver nanoparticle; Antibacterial activity; Nanotechnology; Composite material; Bacteria; Chemistry","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":[0.00009109076,0.0003504904,0.0002131002,0.0002376317,0.0001002302,0.0001986701,0.000234134,0.0004329548,0.00087512],"category_scores_gemma":[0.0001509645,0.000203536,0.0002883586,0.0001583415,0.00009767561,0.0002747895,0.0001572126,0.0002396249,0.0003341514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001498247,"about_ca_system_score_gemma":0.00007630486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001679265,"about_ca_topic_score_gemma":0.0003143262,"domain_scores_codex":[0.9998976,0.000008402681,0.00000969601,0.00003219673,0.00003667957,0.00001547472],"domain_scores_gemma":[0.9999013,0.00001833788,0.00003515551,0.000009230422,0.0000222932,0.00001372394],"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":[0.00001004338,0.000005922654,0.00002408084,0.00003620859,0.000001353005,0.00002763155,0.00000469291,0.00004011891,0.998725,0.00001459194,0.000009147546,0.001101164],"study_design_scores_gemma":[0.000003564036,0.0001490979,0.0005351786,0.000003557435,0.000005390724,0.00009036692,0.000004406869,0.0004848879,0.9978089,0.00001007665,0.0009025069,0.000002166867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568348,0.002511611,0.03560446,0.0001355772,0.0001361216,0.0001264625,0.0002526411,0.0004313863,0.003966898],"genre_scores_gemma":[0.9568848,0.001566545,0.03486959,0.00006776468,0.00002105385,0.0001188713,0.0002636601,0.00006292002,0.00614476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00087512,"threshold_uncertainty_score":0.002927542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08384475237201727,"score_gpt":0.3735070498454783,"score_spread":0.2896622974734611,"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."}}