{"id":"W4382583717","doi":"10.1016/j.scenv.2023.100019","title":"Optimization of Nickel(II) adsorption by sodium tripolyphosphate crosslinked chitosan using response surface methodology (RSM)","year":2023,"lang":"en","type":"article","venue":"Sustainable Chemistry for the Environment","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Adsorption; Chitosan; Response surface methodology; Langmuir adsorption model; Chemical engineering; Chemistry; Solubility; Swelling; Nickel; Nuclear chemistry; Materials science; Chromatography; Organic chemistry; Composite material","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":[0.000421727,0.0008081906,0.00051773,0.000428885,0.0001980839,0.0005008035,0.0005318322,0.0006417145,0.0006310648],"category_scores_gemma":[0.0004340926,0.0003283256,0.0008630053,0.0005417707,0.0001844332,0.0004258862,0.0002891055,0.0004523519,0.0004670911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005238868,"about_ca_system_score_gemma":0.0003771902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002299386,"about_ca_topic_score_gemma":0.003233711,"domain_scores_codex":[0.9994654,0.00007743682,0.00005233061,0.0001045267,0.0002486264,0.00005168993],"domain_scores_gemma":[0.9998899,0.00002759893,0.00002585247,0.000009919216,0.00003893015,0.000007830307],"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":[0.00003204327,0.00002826525,0.00008494603,0.0001167312,0.00001280931,0.00003390268,0.000008503353,0.001093954,0.995612,0.00004943139,0.00003052524,0.002896762],"study_design_scores_gemma":[0.000008049725,0.0001842364,0.000659144,0.000003727766,0.00002367196,0.00004818159,0.00001363928,0.007833214,0.9904247,0.00002501109,0.0007621378,0.00001443237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9326823,0.002539113,0.06071137,0.0001877388,0.00007192796,0.0002602273,0.0004845932,0.0004337257,0.002628971],"genre_scores_gemma":[0.9287879,0.001910483,0.06534345,0.00009606918,0.0000205507,0.0003073158,0.0004988093,0.00007879377,0.002956583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002299386,"threshold_uncertainty_score":0.004571974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02639829125364176,"score_gpt":0.2667110118515709,"score_spread":0.2403127205979291,"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."}}