{"id":"W2094259195","doi":"10.1080/09593330.2004.9619368","title":"Impact of Seasonal Variation on Treatment of Swine Wastewater","year":2004,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Niagara; Niagara College","funders":"","keywords":"Effluent; Environmental science; Wastewater; Sewage treatment; Anaerobic exercise; Kjeldahl method; Water quality; Precipitation; Dilution; Environmental engineering; Stabilization pond; Nitrogen; Chemistry; Ecology; Biology; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002367246,0.0001151089,0.0002027577,0.0001696835,0.0002415596,0.0003302689,0.0001365579,0.0001412787,0.0006304792],"category_scores_gemma":[0.0003296567,0.00006983746,0.0001872994,0.0003199067,0.000161623,0.0001068685,0.0001641,0.0001518515,0.00009887137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008523437,"about_ca_system_score_gemma":0.0005313688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04206686,"about_ca_topic_score_gemma":0.09948356,"domain_scores_codex":[0.999804,0.00002826101,0.00001071757,0.00006154849,0.00005892146,0.00003667389],"domain_scores_gemma":[0.99961,0.00009504528,0.00008715327,0.00002308913,0.0001471967,0.00003756797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001224107,0.000186094,0.7168759,0.0002251171,0.0002024693,0.0009408108,0.0006296029,0.004823499,0.243148,0.0001181637,0.001045196,0.03058112],"study_design_scores_gemma":[0.000002398553,0.0001452236,0.9928678,0.000004052949,0.00002440335,0.00006066842,0.0002802271,0.000958581,0.004751531,0.00001475881,0.0008830314,0.000007261865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998026,0.0001189005,0.00030422,0.00003394861,0.00001439638,0.000008945201,0.0003713761,0.0000118782,0.001110313],"genre_scores_gemma":[0.9989716,0.00008172424,0.000159102,0.00003312549,0.000005293582,0.000006345475,0.0002711211,0.000005802357,0.0004660127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04206686,"threshold_uncertainty_score":0.08364403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006617679404817947,"score_gpt":0.2176753181549813,"score_spread":0.2110576387501633,"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."}}