{"id":"W4413802725","doi":"10.1016/j.jwpe.2025.108550","title":"Model-based strategy using GPS-X to simulate improvement scenarios for material flow cost accounting—A case study of the municipal wastewater treatment plants","year":2025,"lang":"en","type":"article","venue":"Journal of Water Process Engineering","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Student Research Committee, Tabriz University of Medical Sciences; Tabriz University of Medical Sciences","keywords":"Global Positioning System; Wastewater; Cost accounting; Flow (mathematics); Environmental science; Environmental economics; Sewage treatment; Civil engineering; Environmental engineering; Environmental resource management; Computer science; Process engineering; Business; Accounting; Engineering; Economics; Mathematics; Telecommunications","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":[0.0002086272,0.0002591722,0.0003348243,0.0001205578,0.0001300699,0.00007182963,0.0002709217,0.00005321466,0.0000197441],"category_scores_gemma":[0.000004824156,0.0001410859,0.0001219038,0.0001047522,0.00001761703,0.0001940082,0.0001101807,0.00007971493,9.568773e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003166614,"about_ca_system_score_gemma":0.00003589509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002373192,"about_ca_topic_score_gemma":0.00006953969,"domain_scores_codex":[0.9985951,0.00001845434,0.0005521192,0.000199686,0.0002633263,0.0003713687],"domain_scores_gemma":[0.9995126,0.00001693869,0.0001384463,0.0002112893,0.00003884501,0.00008185375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002311853,0.0003064271,0.0008778031,0.00005045499,0.0001068944,0.0000867272,0.002135294,0.7682524,0.2275416,5.645031e-8,0.00000181836,0.0004093445],"study_design_scores_gemma":[0.001804615,0.0005019139,0.0000282268,0.00006405875,0.0001342256,0.00006962645,0.0005734893,0.5384135,0.4582849,0.000006002102,0.00001362805,0.0001057604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978105,0.00000652995,0.0008128926,0.00003204543,0.0002840768,0.001017805,0.00002300813,0.00001044729,0.000002683567],"genre_scores_gemma":[0.997405,5.162144e-7,0.002398745,0.00001870031,0.00005283043,0.00003624895,0.000002254811,0.00002552169,0.0000601648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2307433,"threshold_uncertainty_score":0.5753317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277006156982989,"score_gpt":0.2651912041386852,"score_spread":0.2424211425688554,"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."}}