{"id":"W4225121760","doi":"10.1016/j.micromeso.2022.111889","title":"Controlled synthesis of ZnO modified N-doped porous carbon nanofiber membrane for highly efficient removal of heavy metal ions by capacitive deionization","year":2022,"lang":"en","type":"article","venue":"Microporous and Mesoporous Materials","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Capacitive deionization; Materials science; Chemical engineering; Desalination; Electrolyte; Membrane; Electrode; Adsorption; Supercapacitor; Capacitance; Carbon fibers; Metal ions in aqueous solution; Specific surface area; Nanotechnology; Metal; Inorganic chemistry; Composite material; Chemistry; Metallurgy; Organic chemistry","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":[0.00009055103,0.0002773326,0.0001666631,0.0001621053,0.0001519662,0.0001786927,0.0002884989,0.0003762304,0.0003858829],"category_scores_gemma":[0.0001268015,0.0001308238,0.0002230507,0.0001398193,0.0001085923,0.0002742404,0.0001256387,0.0002490233,0.0001020775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003191089,"about_ca_system_score_gemma":0.0001815055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001358508,"about_ca_topic_score_gemma":0.003822662,"domain_scores_codex":[0.999917,0.000003751317,0.000006309889,0.00002667672,0.00002840028,0.0000178034],"domain_scores_gemma":[0.999949,0.000007950386,0.00001638798,0.000003833294,0.00001401349,0.000008821012],"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":[0.00001293994,0.000004667144,0.00003083705,0.00002317312,0.000001865835,0.00003069322,0.000004530044,0.00004918703,0.9990871,0.00003891144,0.00001648249,0.0006995748],"study_design_scores_gemma":[0.000004053024,0.00002693453,0.0006571109,0.000002007991,0.000004109193,0.00005251157,0.000006642292,0.001015763,0.9976272,0.00001663447,0.0005829477,0.000003999583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836573,0.001685184,0.01192591,0.0001190089,0.00009467599,0.00003760736,0.0002741043,0.0001374144,0.002068815],"genre_scores_gemma":[0.9910336,0.0006075145,0.006878965,0.00002783548,0.000009874328,0.00001996433,0.0001054043,0.00001281638,0.001304009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001358508,"threshold_uncertainty_score":0.002701223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007655356999017957,"score_gpt":0.2101101169092968,"score_spread":0.2024547599102789,"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."}}