{"id":"W4413449396","doi":"10.1016/j.desal.2025.119336","title":"Polyamide thin film nanocomposite membranes modified with cationic nanogel for efficient Li+/Mg2+ separation","year":2025,"lang":"en","type":"article","venue":"Desalination","topic":"Chemical Synthesis and Characterization","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polyamide; Nanocomposite; Nanogel; Cationic polymerization; Membrane; Materials science; Chemical engineering; Polymer chemistry; Composite material; Chemistry; Nanotechnology; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001642616,0.0001085678,0.0001016781,0.00004351647,0.0001847121,0.00006011312,0.000106524,0.00007419884,0.00007288453],"category_scores_gemma":[0.00004181449,0.0000931025,0.0000391199,0.0002629587,0.00004339455,0.00014824,0.00002728283,0.00003938391,0.00002947726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001883332,"about_ca_system_score_gemma":0.00001605771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006463199,"about_ca_topic_score_gemma":0.00005776756,"domain_scores_codex":[0.999175,0.00003074286,0.0002011386,0.0002625554,0.000190055,0.0001404927],"domain_scores_gemma":[0.9996001,0.00008171108,0.000104379,0.0001497233,0.00003214789,0.00003190084],"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":[0.0001463262,0.0001977495,0.002315956,0.00005427061,0.00001797478,2.481623e-7,0.0003949461,0.1105362,0.8755404,0.005277021,0.0004122784,0.005106611],"study_design_scores_gemma":[0.0005798022,0.00003896519,0.04320734,0.00004464134,0.00004023038,0.000001138869,0.00002332686,0.4145101,0.5378722,0.0005805714,0.002923942,0.0001777571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9219054,0.00001885121,0.07395124,0.000683531,0.00008348984,0.0005490183,0.00001206646,0.00006331613,0.002733095],"genre_scores_gemma":[0.9970781,0.000005657791,0.001044049,0.0002027588,0.00002426235,0.0001485368,0.0002279239,0.000009996951,0.001258761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3376682,"threshold_uncertainty_score":0.379661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006827896003228418,"score_gpt":0.2390511184235927,"score_spread":0.2322232224203643,"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."}}