{"id":"W4387806166","doi":"10.1371/journal.pone.0291505","title":"Advanced biomaterial agent from chitosan/poloxamer 407-based thermosensitive hydrogen containing biosynthesized silver nanoparticles using Eucalyptus camaldulensis leaf extract","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Research Council of Thailand; Thailand Research Fund","keywords":"Antimicrobial; Chitosan; Poloxamer 407; Poloxamer; Eucalyptus camaldulensis; Minimum inhibitory concentration; Chemistry; Context (archaeology); Silver nanoparticle; Self-healing hydrogels; Microbiology; Nanoparticle; Materials science; Nanotechnology; Biochemistry; Eucalyptus; Polymer; Biology; Botany; Organic 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":[0.00009096334,0.000353318,0.0001691133,0.0001921392,0.00008032281,0.0001750161,0.0001570903,0.0002696873,0.0005299109],"category_scores_gemma":[0.00008004059,0.0001222438,0.0002642064,0.00009161308,0.0001359868,0.0001835268,0.0001570822,0.0002376844,0.0001782745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001687763,"about_ca_system_score_gemma":0.000117299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002763502,"about_ca_topic_score_gemma":0.0004974415,"domain_scores_codex":[0.9999347,0.000007343731,0.000006095964,0.00002141151,0.00001953153,0.00001089147],"domain_scores_gemma":[0.9999397,0.00000903585,0.00002515722,0.000004729377,0.000009256863,0.00001210513],"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":[0.00001734893,0.000005678422,0.00001867611,0.00003398337,0.000001904365,0.00002242585,0.000002945994,0.00005022685,0.9993092,0.00001268555,0.000007506527,0.0005173617],"study_design_scores_gemma":[0.000003621464,0.00008581338,0.000361607,0.000002487451,0.000007153711,0.00007944232,0.000003262656,0.0003073594,0.9987316,0.00000616549,0.0004087184,0.000002820716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881008,0.002146583,0.007504033,0.00007461469,0.00004436638,0.00004279987,0.0001491118,0.000145277,0.001792466],"genre_scores_gemma":[0.991767,0.0006337503,0.005814672,0.00004611867,0.000008597111,0.00002457498,0.0001338287,0.00002423275,0.001547275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005299109,"threshold_uncertainty_score":0.001772761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06535537456518542,"score_gpt":0.2598188485373173,"score_spread":0.1944634739721319,"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."}}