{"id":"W4211227788","doi":"10.1002/cjce.24384","title":"Selective removal of <scp>Cr (VI)</scp> from hydrometallurgical effluent using modified cellulose nanocrystals (<scp>CNCs</scp>) with succinic anhydride and ethylenediaminetetraacetic acid: Isotherm, kinetics, and thermodynamic studies","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Succinic anhydride; Zeta potential; Thermogravimetric analysis; Adsorption; Langmuir adsorption model; Ethylenediaminetetraacetic acid; Chemistry; Nuclear chemistry; Succinic acid; Inorganic chemistry; Chemical engineering; Materials science; Organic chemistry; Chelation; Nanotechnology; Nanoparticle","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006804426,0.0003336751,0.0007212687,0.0002493466,0.000206914,0.00005965917,0.0004112994,0.00007558545,0.00001078522],"category_scores_gemma":[0.001004705,0.00024756,0.00008812696,0.0003679577,0.0005583325,0.0001422221,0.0002107991,0.0006581222,4.693706e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004501124,"about_ca_system_score_gemma":0.0002551028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006565585,"about_ca_topic_score_gemma":0.0002019024,"domain_scores_codex":[0.997691,0.0001458376,0.0005547348,0.0003303757,0.000605856,0.0006721375],"domain_scores_gemma":[0.9973854,0.001408841,0.000333225,0.0002121187,0.000200263,0.0004601555],"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":[0.00001612155,0.00002025126,0.00004542578,0.0000760125,0.0002243053,0.0002313555,0.002056532,0.03444546,0.9627525,0.00004731003,0.00001201637,0.0000726981],"study_design_scores_gemma":[0.001267305,0.0004388864,0.0003903578,0.0002144446,0.0002013525,0.0009019148,0.001288273,0.0333368,0.9609092,0.0007450185,0.0001603042,0.0001461525],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812032,0.01756319,0.0006853268,0.00007075903,0.000122829,0.0002281919,0.00005689607,0.00001582188,0.00005376674],"genre_scores_gemma":[0.9976242,0.0001326196,0.002008691,0.00002326858,0.0001073164,0.00001084717,0.000002047239,0.00005559246,0.00003542817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01743057,"threshold_uncertainty_score":0.9999977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574758211859427,"score_gpt":0.2323824007689432,"score_spread":0.2166348186503489,"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."}}