{"id":"W2982590297","doi":"10.1007/s11783-019-1167-7","title":"Characteristic and correlation analysis of influent and energy consumption of wastewater treatment plants in Taihu Basin","year":2019,"lang":"en","type":"article","venue":"Frontiers of Environmental Science & Engineering","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Pollutant; Environmental science; Biochemical oxygen demand; Wastewater; Chemical oxygen demand; Sewage treatment; Environmental engineering; Energy consumption; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001155152,0.000121072,0.0002761154,0.000251371,0.00001814238,0.000005718453,0.00007545608,0.00003431938,0.0000943587],"category_scores_gemma":[0.000002534972,0.0001046658,0.00003875743,0.0001880566,0.0002705467,0.0002394932,0.00008156925,0.00002338429,0.000001976904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001793082,"about_ca_system_score_gemma":0.000003212292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000213602,"about_ca_topic_score_gemma":0.000009097396,"domain_scores_codex":[0.9991112,0.00001147247,0.0002472771,0.0002378653,0.000224991,0.0001671887],"domain_scores_gemma":[0.999686,0.00001428093,0.0001098885,0.0001282703,9.739582e-7,0.00006056933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001826736,0.0000457346,0.5875698,0.000003132834,0.00003399411,7.318914e-7,0.0002726314,0.007457539,0.4039356,0.00000603372,4.143288e-7,0.0006561468],"study_design_scores_gemma":[0.0003520319,0.0001229057,0.8513654,0.00001178072,0.00008192896,0.000001844839,0.00008863136,0.02761662,0.1202443,0.000001813748,0.00003099693,0.00008177201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995463,0.0001643904,0.00008414751,0.000002735715,0.00005689732,0.00009076231,0.00003023771,0.000003221828,0.0000213132],"genre_scores_gemma":[0.9981484,0.0001751037,0.001610016,0.000001699931,0.000001676337,0.000003546022,0.00001449725,0.000005097746,0.00003994704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2836913,"threshold_uncertainty_score":0.4268148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003465846121569287,"score_gpt":0.1658509003125591,"score_spread":0.1623850541909898,"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."}}