{"id":"W4393166868","doi":"10.1016/j.ijbiomac.2024.131080","title":"Organic-inorganic hybrid ZIF-8/MXene/cellulose-based textiles with improved antibacterial and electromagnetic interference shielding performance","year":2024,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Government of Jiangsu Province; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Materials science; Context (archaeology); MXenes; Electromagnetic shielding; Textile; Cellulose; Nanotechnology; Chemistry; Composite material; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004175816,0.0002364083,0.0003212431,0.0001642849,0.00005540252,0.0005547846,0.0005454248,0.00007858629,0.001631292],"category_scores_gemma":[0.0001151859,0.0001481174,0.00007296147,0.00009276385,0.0001947336,0.0002523001,0.0001353827,0.0001862249,0.00003286968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006607613,"about_ca_system_score_gemma":0.0001490259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009234263,"about_ca_topic_score_gemma":0.000003305594,"domain_scores_codex":[0.9984645,0.0001098693,0.0005390109,0.0003275557,0.0002791799,0.0002799006],"domain_scores_gemma":[0.9991469,0.0001532655,0.000239833,0.0001094554,0.0002392054,0.0001113385],"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":[0.0005648379,0.00006075887,0.0001588697,0.00003446827,0.00004950329,0.0003355106,0.00004273918,0.000002540808,0.9942097,0.0002357272,0.00003387176,0.004271476],"study_design_scores_gemma":[0.0005939386,0.001946329,0.001048119,0.0002985185,0.00003438513,0.001124049,0.00002248846,0.0004380131,0.9935567,0.0003186023,0.000402506,0.0002163515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940585,0.0004817737,0.003549658,0.0004342926,0.001168607,0.000100869,0.00004338833,0.00006057538,0.0001023514],"genre_scores_gemma":[0.9970592,0.0002499784,0.001973021,0.0002042838,0.0004478965,0.000003993164,0.00001094986,0.00002014555,0.00003055982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004055125,"threshold_uncertainty_score":0.9992813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115344320612265,"score_gpt":0.2380923116460012,"score_spread":0.2265578795847747,"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."}}