{"id":"W4296964335","doi":"10.1007/s10570-022-04848-4","title":"Green synthesis of Ag/lignin nanoparticle-loaded cellulose aerogel for catalytic degradation and antimicrobial applications","year":2022,"lang":"en","type":"article","venue":"Cellulose","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aerogel; Lignin; Cellulose; Catalysis; Nuclear chemistry; Materials science; Nanoparticle; Methyl orange; Degradation (telecommunications); Silver nanoparticle; Aqueous solution; Chemistry; Photocatalysis; Organic chemistry; Composite material; Nanotechnology","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":[0.0001111892,0.0002989518,0.0002142313,0.0002225825,0.0001359467,0.0002112197,0.0001786208,0.0002836991,0.0008120431],"category_scores_gemma":[0.0001025069,0.0001206179,0.0003233107,0.0001602491,0.0001025912,0.0002237978,0.0001584609,0.0003169348,0.0002548186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002568146,"about_ca_system_score_gemma":0.0001787912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005146078,"about_ca_topic_score_gemma":0.001523025,"domain_scores_codex":[0.9999219,0.000004726024,0.000005322781,0.00001609052,0.00002700498,0.00002489125],"domain_scores_gemma":[0.9999582,0.000006779408,0.00001088165,0.000004472001,0.00001026279,0.000009471867],"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":[0.000014332,0.000008037316,0.00002422573,0.00002989505,0.000003399707,0.00003732404,0.000007725587,0.0001020179,0.9984891,0.00006857895,0.00003430257,0.001180907],"study_design_scores_gemma":[0.000002450864,0.00002953022,0.0002434727,0.00000181654,0.000004482998,0.00002801144,0.000005640781,0.0006552391,0.9983395,0.00001778537,0.0006692078,0.000002707395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809889,0.001641883,0.01234684,0.0001101956,0.00006846563,0.00003514723,0.0003168761,0.0002323333,0.004259352],"genre_scores_gemma":[0.9896318,0.0005831317,0.006307704,0.00005761745,0.000010715,0.00002289834,0.0002053925,0.0000457527,0.003135018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008120431,"threshold_uncertainty_score":0.002716601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02317541899504691,"score_gpt":0.2683512995498435,"score_spread":0.2451758805547966,"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."}}