{"id":"W4415805368","doi":"10.1680/jenes.25.00055","title":"Optimising wastewater treatment for sustainable irrigation using sequencing batch reactors","year":2025,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Effluent; Sequencing batch reactor; Sewage treatment; Wastewater; Reuse; Pollutant; Chemical oxygen demand; Water quality; Biochemical oxygen demand","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":[0.0009378305,0.0006442671,0.0006035546,0.0003177977,0.0003964295,0.0008334678,0.0004470714,0.0005453861,0.0005812008],"category_scores_gemma":[0.0005633695,0.0002632459,0.0006708934,0.0003581932,0.0002115053,0.0004262076,0.0003067281,0.0004277003,0.0003272069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005765425,"about_ca_system_score_gemma":0.0007835433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003775844,"about_ca_topic_score_gemma":0.007113453,"domain_scores_codex":[0.9994098,0.0001530983,0.00007375597,0.00009880224,0.0001836286,0.000080922],"domain_scores_gemma":[0.9998152,0.0000646574,0.0000356512,0.00001623453,0.00005478032,0.00001353697],"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":[0.0001594159,0.0001950663,0.000986211,0.0002023473,0.00001964344,0.00008429213,0.00004553191,0.006896392,0.9793534,0.0001593068,0.0001101814,0.01178833],"study_design_scores_gemma":[0.0000393111,0.001126321,0.003479364,0.00001815216,0.0000462722,0.00009240068,0.00008882258,0.02865042,0.9631906,0.0001550931,0.003079064,0.00003418558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672865,0.001305141,0.02874389,0.0002140689,0.00007977924,0.0002461859,0.0002831826,0.0001524983,0.001688653],"genre_scores_gemma":[0.9645512,0.001458244,0.03189221,0.00006779193,0.0000208557,0.0002078124,0.0002828961,0.00001824588,0.001500809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003775844,"threshold_uncertainty_score":0.007507741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100930862582822,"score_gpt":0.2180412009848744,"score_spread":0.2070318923590462,"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."}}