{"id":"W1866027157","doi":"10.1016/j.jece.2015.10.029","title":"Statistical analysis and optimization of ammonia removal from landfill leachate by sequential microwave/aeration process using factorial design and response surface methodology","year":2015,"lang":"en","type":"article","venue":"Journal of environmental chemical engineering","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Leachate; Aeration; Response surface methodology; Factorial experiment; Ammonia; Microwave; Chemistry; Aqueous solution; Pulp and paper industry; Waste management; Environmental science; Environmental engineering; Chromatography; Environmental chemistry; Mathematics; Computer science","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":[0.001715991,0.0003645447,0.000782929,0.0005156433,0.0003829793,0.0004310439,0.0003455697,0.0001985498,0.0007125974],"category_scores_gemma":[0.001649232,0.0002024085,0.001056239,0.0006972671,0.0002874484,0.0002323257,0.0002282524,0.0002633194,0.00008707814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006437402,"about_ca_system_score_gemma":0.0007875654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00215224,"about_ca_topic_score_gemma":0.003371723,"domain_scores_codex":[0.9987082,0.0003921247,0.0002117138,0.0002195037,0.0003678075,0.0001007357],"domain_scores_gemma":[0.9987405,0.000618201,0.000203092,0.00008052473,0.0003249662,0.00003273905],"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":[0.004200119,0.0007926493,0.006512365,0.0003794487,0.0001918015,0.00004375647,0.00008600549,0.01421829,0.9337929,0.0002369238,0.0001015151,0.03944416],"study_design_scores_gemma":[0.00009983843,0.00697478,0.05392006,0.000005288075,0.0003060614,0.00007248059,0.00009726754,0.03762529,0.8993729,0.0002464922,0.00122158,0.0000578608],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811334,0.0001475701,0.01783976,0.00002524468,0.0000153772,0.0001007259,0.0003081603,0.00009061053,0.0003393164],"genre_scores_gemma":[0.9787892,0.0001216132,0.01973819,0.0000164222,0.000009046998,0.000243499,0.0003094584,0.00002411162,0.0007483838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00215224,"threshold_uncertainty_score":0.009075105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02971444032668958,"score_gpt":0.2638340072273389,"score_spread":0.2341195669006493,"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."}}