{"id":"W4306648040","doi":"10.1002/cjce.24721","title":"Embedded <scp>nanoFeCu</scp> for sewage treatment: Laboratory‐scale and pilot studies","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Effluent; Sewage; Sewage treatment; Wastewater; Chemical oxygen demand; Biochemical oxygen demand; Environmental science; Pulp and paper industry; Reuse; Waste management; Chemistry; Environmental engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003639842,0.0004080854,0.0003160862,0.0001795677,0.0002461847,0.0002603703,0.0002740572,0.0004714812,0.0005549269],"category_scores_gemma":[0.0003420351,0.0001509971,0.0003558236,0.0001944907,0.0002300757,0.0003405254,0.0003025979,0.0003665633,0.0001850584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002920361,"about_ca_system_score_gemma":0.0002063432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001996437,"about_ca_topic_score_gemma":0.003514867,"domain_scores_codex":[0.9997203,0.0000512324,0.00002774736,0.00005114068,0.000106867,0.00004268935],"domain_scores_gemma":[0.9998335,0.00002802576,0.00003996856,0.00001493525,0.00006604368,0.00001761226],"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":[0.00003493733,0.0000637915,0.0001620423,0.0001153817,0.000006097651,0.00005678513,0.0000218359,0.0002268245,0.997427,0.00002587117,0.00006516995,0.001794216],"study_design_scores_gemma":[0.00000996268,0.0008720873,0.001820119,0.00001110092,0.00001739956,0.00007733129,0.00003855262,0.001754873,0.9942641,0.00001807587,0.001104116,0.00001231877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966359,0.0002892115,0.00197128,0.00004181263,0.00001838578,0.00007812656,0.0001487883,0.0000671827,0.0007494129],"genre_scores_gemma":[0.9912512,0.0003885885,0.006735359,0.00003341685,0.0000105778,0.00009474526,0.0002186584,0.00002250921,0.001244875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001996437,"threshold_uncertainty_score":0.003969669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116941914807556,"score_gpt":0.1995248316393809,"score_spread":0.1878306401586253,"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."}}