{"id":"W4386374817","doi":"10.1016/j.seppur.2023.124986","title":"Ultralight, elastic, magnetic and superhydrophobic cellulose nanofibril based aerogel with layer-support structure designed for both excellent oil-water separation and efficient PM2.5 removal","year":2023,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Science Foundation of Zhejiang Province; Scientific Research Foundation of Zhejiang A and F University; China Postdoctoral Science Foundation","keywords":"Aerogel; Materials science; Cellulose; Layer (electronics); Chemical engineering; Magnetic separation; Separation (statistics); Composite material; Nanotechnology; Computer science; Engineering; Metallurgy","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":[0.00006948572,0.0002483004,0.0001313313,0.0001435157,0.0001558395,0.0001499402,0.0002584976,0.0002648548,0.0003925564],"category_scores_gemma":[0.00007928088,0.0001342253,0.0001893576,0.00007825082,0.0001138491,0.0001824353,0.0001186047,0.0002356675,0.000220206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002026758,"about_ca_system_score_gemma":0.0001496251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005682812,"about_ca_topic_score_gemma":0.001334386,"domain_scores_codex":[0.9999498,0.00000312929,0.00000305813,0.00001409821,0.00001833982,0.00001154212],"domain_scores_gemma":[0.999947,0.000005023645,0.00001913082,0.000003923097,0.00001210845,0.00001283393],"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":[0.00001510819,0.000005860536,0.00004495438,0.0000180203,0.000002350618,0.00003357513,0.000004808312,0.0000769297,0.9990816,0.00006938383,0.00003739102,0.0006099274],"study_design_scores_gemma":[0.000007589857,0.00006513658,0.001026892,0.000001542926,0.000007861104,0.0001330163,0.000005917519,0.001583877,0.9959746,0.00002554882,0.0011608,0.000007175989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800072,0.0005013242,0.01635118,0.00009541015,0.00005181432,0.00002826509,0.0003158877,0.0003850113,0.002263854],"genre_scores_gemma":[0.9780096,0.0002885384,0.01803502,0.00005338192,0.00001560913,0.00002872519,0.00045096,0.00004486048,0.003073272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005682812,"threshold_uncertainty_score":0.001470506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445053459496583,"score_gpt":0.255003858273855,"score_spread":0.2405533236788891,"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."}}