{"id":"W4223412180","doi":"10.1016/j.ijbiomac.2022.03.198","title":"Multi-responsive poly N-isopropylacrylamide/poly N-tert-butylacrylamide nanocomposite hydrogel with the ability to be adsorbed on the chitosan film as an active antibacterial material","year":2022,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Chitosan; Antibacterial activity; Nanoparticle; Nanocomposite; Adsorption; Polymer chemistry; Chemical engineering; Polymer; Fourier transform infrared spectroscopy; Acrylic acid; Nuclear chemistry; Chemistry; Materials science; Poly(N-isopropylacrylamide); Zeta potential; Copolymer; Organic chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005459208,0.0003279552,0.0002934999,0.00009855287,0.0004285216,0.0001472079,0.001742639,0.000121829,0.0002156555],"category_scores_gemma":[0.0003580353,0.0001749629,0.0002268099,0.0001366799,0.0003960554,0.00001926678,0.0005911692,0.0003739877,0.00001062657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009431054,"about_ca_system_score_gemma":0.0001931664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001011137,"about_ca_topic_score_gemma":0.0000338469,"domain_scores_codex":[0.997228,0.0007951087,0.0005280834,0.0005130064,0.0005966967,0.0003391557],"domain_scores_gemma":[0.9984602,0.0001458439,0.0004762319,0.0004855656,0.0002730582,0.0001591094],"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":[0.008306482,0.0004837215,0.0001736609,0.00000150522,0.0002616078,0.00006395645,0.0003044211,0.0001415609,0.9877899,0.0002304893,0.00008963849,0.002153004],"study_design_scores_gemma":[0.0007897929,0.003376186,0.006936704,0.00001536516,0.00003215767,0.0006050371,0.0007073502,0.00005567945,0.9817025,0.0001506753,0.005338721,0.000289806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871035,0.00007716634,0.0004133557,0.0108182,0.0003620683,0.0005585841,0.000548281,0.00001851414,0.0001003828],"genre_scores_gemma":[0.9938813,0.00002265829,0.000835218,0.00439755,0.0004973499,0.0001688187,0.0001275972,0.00003508473,0.00003438348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007516689,"threshold_uncertainty_score":0.7134781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834346901561863,"score_gpt":0.2686332883216088,"score_spread":0.2502898193059901,"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."}}