{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001417982,0.000385566,0.0001496279,0.0001619224,0.0001293096,0.0001862179,0.0001693678,0.0003572289,0.0005466298],"category_scores_gemma":[0.0001241283,0.0001489585,0.0002417831,0.00009542128,0.0001182143,0.0004361869,0.0001454401,0.0003346529,0.0002312278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002302346,"about_ca_system_score_gemma":0.000154166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004674711,"about_ca_topic_score_gemma":0.000997418,"domain_scores_codex":[0.999943,0.000006415984,0.000005494103,0.0000126501,0.00001882887,0.00001363497],"domain_scores_gemma":[0.9999541,0.000008459029,0.00001384815,0.000002717894,0.0000129706,0.000007872045],"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":[0.000007346514,0.000004400917,0.0000130236,0.00001698193,0.000001227147,0.00000875175,0.000004099423,0.00002953127,0.9994878,0.000016789,0.000008114775,0.000401896],"study_design_scores_gemma":[0.000003045963,0.0000453808,0.0002418935,0.000002687622,0.000005527943,0.00003323092,0.000006276784,0.0004928015,0.9985707,0.00001154389,0.000584426,0.000002491003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862916,0.002064034,0.009984259,0.0001194478,0.00004314578,0.00003195625,0.00008271417,0.0001680207,0.001214741],"genre_scores_gemma":[0.9866977,0.001350466,0.009713668,0.00007087963,0.00001249912,0.0000349461,0.00009892225,0.00002658853,0.001994286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005466298,"threshold_uncertainty_score":0.001828671,"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."}}