{"id":"W4411504311","doi":"10.1016/j.colsurfa.2025.137561","title":"Water separation from lubricating oil by sorption into a structured packing coated with a cellulose hydrogel","year":2025,"lang":"en","type":"article","venue":"Colloids and Surfaces A Physicochemical and Engineering Aspects","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Petrobras; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Sorption; Cellulose; Chemical engineering; Separation (statistics); Materials science; Chromatography; Polymer science; Chemistry; Organic chemistry; Adsorption; Computer science; Engineering","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":[0.00009328363,0.0002307215,0.0002113886,0.0001684506,0.0002019663,0.0002617575,0.000224636,0.0001601491,0.000948366],"category_scores_gemma":[0.000148034,0.0001788614,0.0001985405,0.0001115907,0.0001758601,0.0002957264,0.0002112328,0.0002776053,0.0003158347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002738313,"about_ca_system_score_gemma":0.0002867548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001433616,"about_ca_topic_score_gemma":0.002417436,"domain_scores_codex":[0.9999229,0.000004244885,0.000003453451,0.0000172928,0.0000196413,0.00003250056],"domain_scores_gemma":[0.9998927,0.00003016434,0.00002315362,0.000008615663,0.00001451512,0.00003083884],"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":[0.00003463671,0.00001156971,0.00005349711,0.000009810553,0.000001806023,0.00002206274,0.000008829486,0.00009032464,0.9990517,0.00004332005,0.0000155427,0.0006567761],"study_design_scores_gemma":[0.000008038167,0.0001022076,0.0004705451,0.00000146327,0.000004199988,0.00001992722,0.000009172918,0.001774023,0.9973415,0.0000125351,0.0002534782,0.000002957607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963418,0.0001748729,0.002559422,0.00002968455,0.0000160411,0.000008133217,0.00002911015,0.00004322575,0.0007977079],"genre_scores_gemma":[0.9964226,0.0001362772,0.002076555,0.00002373184,0.00001347671,0.00000598215,0.00005295796,0.00002346623,0.001244952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001433616,"threshold_uncertainty_score":0.003172636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004431437748369348,"score_gpt":0.2019783357133517,"score_spread":0.1975468979649823,"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."}}