{"id":"W2000971693","doi":"10.1002/cjce.20451","title":"Optimisation of adsorption efficiency for reactive red 198 removal from wastewater over TiO<sub>2</sub>using response surface methodology","year":2011,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jadavpur University","keywords":"Adsorption; Response surface methodology; Wastewater; Central composite design; Design–Expert; Materials science; Chemistry; Chromatography; Chemical engineering; Nuclear chemistry; Mathematics; Pulp and paper industry; Environmental engineering; Environmental science; Organic chemistry; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001052102,0.00009209917,0.0001861895,0.00005792094,0.00003928626,0.00001079767,0.000177329,0.00007671038,0.00002778616],"category_scores_gemma":[0.000330675,0.00007262817,0.0001059296,0.0001240761,0.00007658052,0.0001057413,0.00001698569,0.0001513413,0.000001431247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003188765,"about_ca_system_score_gemma":0.00004130095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004649627,"about_ca_topic_score_gemma":0.00002794175,"domain_scores_codex":[0.9991382,0.0001138918,0.0003019393,0.0001058017,0.0001445501,0.0001955885],"domain_scores_gemma":[0.9992778,0.0002398201,0.000170168,0.0001292558,0.00002893781,0.0001540676],"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":[0.0001475218,0.000005831585,0.00009627557,0.000003520526,0.00003153881,0.000004172707,0.001518765,0.04150714,0.9565805,0.000003827935,0.00001048836,0.00009039284],"study_design_scores_gemma":[0.0001809266,0.00003083137,0.0006556549,0.0000371807,0.00006704323,0.0000203309,0.00004452085,0.007171811,0.9914855,0.0002003803,0.00002263513,0.00008316961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965064,0.00002258878,0.00317078,0.00009840076,0.0001351358,0.00004929286,0.000007072959,0.000004368113,0.000005989605],"genre_scores_gemma":[0.9840656,5.505426e-7,0.01583177,0.000006111461,0.00007589301,5.989401e-7,0.000001724528,0.00001199303,0.000005784986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03490499,"threshold_uncertainty_score":0.7028877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05433667679393843,"score_gpt":0.2435182746973528,"score_spread":0.1891815979034144,"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."}}