{"id":"W4415897155","doi":"10.1016/j.cej.2025.170439","title":"Selective separation of heavy metals and nitric acid from semiconductor manufacturing wastewater using hydroxyoxime-based extractants and sub-atmospheric thermoseparation","year":2025,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Korea Institute of Energy Technology Evaluation and Planning; Ministry of Trade, Industry and Energy","keywords":"Raffinate; Stripping (fiber); Distillation; Nitric acid; Extraction (chemistry); Wastewater; Vacuum distillation; Data scrubbing","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":[0.0001501778,0.0002856075,0.0002344244,0.0001931995,0.0002074162,0.0002499105,0.0002912637,0.0002780005,0.0003808099],"category_scores_gemma":[0.0001534814,0.0001777221,0.0002413591,0.0001158276,0.0001914676,0.0002496087,0.0002939866,0.0003718306,0.00024364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002003888,"about_ca_system_score_gemma":0.0003274276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064476,"about_ca_topic_score_gemma":0.003330942,"domain_scores_codex":[0.9998459,0.00001689423,0.00001190543,0.00003442119,0.0000614927,0.0000293173],"domain_scores_gemma":[0.9999399,0.00001593832,0.00001238017,0.000006528707,0.00001629784,0.000008834705],"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":[0.00003832153,0.000006750824,0.0001113646,0.00001702388,0.000002499173,0.00001859041,0.00001091396,0.00002454981,0.9984123,0.00002276989,0.00001081651,0.001324124],"study_design_scores_gemma":[0.000002616756,0.0000283328,0.0005501,0.000001067667,0.000003635755,0.00003727759,0.000008652224,0.0003804973,0.998736,0.000009193693,0.0002408006,0.000001719987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885616,0.0007261746,0.008858953,0.00007094083,0.0000321444,0.00003039429,0.00008002705,0.00006814939,0.001571651],"genre_scores_gemma":[0.9900212,0.0005762383,0.006226543,0.00005804369,0.00001232776,0.00001843375,0.000122519,0.00001598915,0.002948741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001064476,"threshold_uncertainty_score":0.002116561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008509379354304828,"score_gpt":0.2337349299519228,"score_spread":0.225225550597618,"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."}}