{"id":"W4409619328","doi":"10.1016/j.jcis.2025.137660","title":"Facile approach developed for low-pressure separation of ethanol-water using cellulose membrane grafted with acrylic polyelectrolyte","year":2025,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Guangzhou Municipal Science and Technology Project; National Natural Science Foundation of China","keywords":"Polyelectrolyte; Cellulose; Membrane; Acrylic acid; Ethanol; Chemical engineering; Acrylic resin; Chemistry; Polymer chemistry; Chromatography; Materials science; Organic chemistry; Polymer; Copolymer; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007200599,0.0001264619,0.000247797,0.0002121893,0.0001604699,0.00007471022,0.0004450807,0.00006377567,0.00004629697],"category_scores_gemma":[0.00009100635,0.00008058286,0.00003727533,0.0006823927,0.0006360345,0.0006994831,0.000135356,0.0001349993,0.000001587384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008026313,"about_ca_system_score_gemma":0.0001344482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001594152,"about_ca_topic_score_gemma":0.000006388141,"domain_scores_codex":[0.9987346,0.0000283,0.0003797595,0.0002270567,0.0003831151,0.000247196],"domain_scores_gemma":[0.9993883,0.00003294898,0.0002516746,0.0001507368,0.0001221675,0.0000542161],"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":[0.0002024628,0.00003967026,0.0002885583,0.00004201025,0.00001726828,1.393678e-7,0.0004543189,0.009018248,0.9895365,0.00005611927,0.0001155821,0.0002291344],"study_design_scores_gemma":[0.0005185514,0.0002857342,0.0002649106,0.00005772354,0.00003145567,0.00002210243,0.0002693252,0.0217837,0.9756229,0.000110381,0.0009348949,0.0000983121],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476649,0.0001189402,0.05015151,0.0001753976,0.00008032315,0.0003008108,0.000002813816,0.00001223866,0.001493123],"genre_scores_gemma":[0.9862295,0.00001719712,0.01210947,0.00003381806,0.00000623324,0.000005102618,3.715182e-7,0.000004613926,0.001593731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03856461,"threshold_uncertainty_score":0.3286074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330145017112581,"score_gpt":0.2802953023203735,"score_spread":0.2669938521492476,"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."}}