{"id":"W2796058104","doi":"","title":"Effects of primary treatment optimization on energy savings and recovery in conventional activated sludge process","year":2001,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Activated sludge; Waste management; Process (computing); Process engineering; Primary (astronomy); Process optimization; Primary energy; Environmental science; Energy (signal processing); Sewage treatment; Engineering; Computer science; Environmental engineering; Mathematics; Physics; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002621771,0.0005024188,0.001047418,0.0002627895,0.00048742,0.001034649,0.000288942,0.0003944562,0.002873084],"category_scores_gemma":[0.0004376378,0.0002640507,0.0005223876,0.0004013109,0.0002259399,0.000330052,0.0002653446,0.0004035381,0.0003700183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039188,"about_ca_system_score_gemma":0.0006671303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005958984,"about_ca_topic_score_gemma":0.00811137,"domain_scores_codex":[0.999737,0.00003444483,0.00002258284,0.0000580126,0.00007331186,0.0000747025],"domain_scores_gemma":[0.9997754,0.00007929179,0.00003913962,0.00001291371,0.0000626769,0.00003072511],"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":[0.00755766,0.0009025485,0.001566297,0.0003196477,0.00005402081,0.000136954,0.00007030298,0.01249349,0.9457091,0.0001462293,0.000483618,0.03056013],"study_design_scores_gemma":[0.00005782623,0.001511714,0.004001539,0.000006770762,0.00008063104,0.00005039212,0.0000533838,0.007496431,0.9859773,0.00005172133,0.0006988358,0.00001345762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9969567,0.0007920765,0.0007625474,0.00005676068,0.00002196012,0.00001474176,0.00009741676,0.0000494563,0.001248401],"genre_scores_gemma":[0.9973695,0.0003316787,0.0007397707,0.00001538163,0.000006575322,0.000006049486,0.00009042116,0.00001614982,0.001424374],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005958984,"threshold_uncertainty_score":0.01184857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005723057137301845,"score_gpt":0.1997385813616974,"score_spread":0.1940155242243956,"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."}}