{"id":"W4409743984","doi":"10.1016/j.memsci.2025.124140","title":"Tailored l-Arginine modified Poly(piperazine-amide) nanofiltration membrane with enhanced water permeability for efficient Li+/Mg2+ separation","year":2025,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Nanofiltration; Piperazine; Membrane; Permeability (electromagnetism); Chemistry; Arginine; Amide; Chemical engineering; Chromatography; Organic chemistry; Biochemistry; Amino acid","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002276458,0.0005361402,0.000276513,0.0001233289,0.0001244373,0.0002677038,0.000215878,0.000623761,0.0004299173],"category_scores_gemma":[0.0001745896,0.0001499267,0.0003148883,0.0001137352,0.0002022349,0.0004312494,0.0002180661,0.0004628704,0.0003100679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002418152,"about_ca_system_score_gemma":0.0001445817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003996003,"about_ca_topic_score_gemma":0.0005308535,"domain_scores_codex":[0.9998883,0.00001521277,0.000008508885,0.00003010052,0.000034052,0.00002384483],"domain_scores_gemma":[0.9999253,0.0000110533,0.00002743133,0.000004381979,0.00001720021,0.0000146963],"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":[0.00000874995,0.00000278628,0.00000998664,0.00001002119,8.404691e-7,0.00001060274,0.000002495327,0.00002802759,0.9997491,0.000007014614,0.000003935938,0.0001664561],"study_design_scores_gemma":[0.00000727826,0.00008516451,0.0005739208,0.000001912668,0.000006090076,0.00008028423,0.000006288953,0.001052371,0.9975827,0.00000990544,0.0005888126,0.000005346591],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867568,0.0008547778,0.01108256,0.00009691542,0.00003215896,0.00003751422,0.0001225271,0.0001698997,0.0008468513],"genre_scores_gemma":[0.9795084,0.0005607759,0.01808871,0.00009115595,0.00001533142,0.00004228212,0.0001276,0.00003724217,0.001528589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000623761,"threshold_uncertainty_score":0.001754522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009962279532682975,"score_gpt":0.2777778829073444,"score_spread":0.2678156033746614,"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."}}