{"id":"W1796291915","doi":"","title":"A dynamic modelling approach to evaluate GHG emissions from wastewater treatment plants","year":2012,"lang":"en","type":"article","venue":"Lund University Publications (Lund University)","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Vlaamse regering; Ministero dello Sviluppo Economico; Fonds Wetenschappelijk Onderzoek; Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Greenhouse gas; Environmental science; Sewage treatment; Wastewater; Waste management; Environmental engineering; Engineering; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009192654,0.00028438,0.0002201917,0.0004065864,0.0008453847,0.00005870213,0.0005605843,0.0001308163,0.000813591],"category_scores_gemma":[0.000003501031,0.000282554,0.0001506926,0.0008479044,0.0001107933,0.001107246,0.0003841842,0.0001119206,0.0008166573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594824,"about_ca_system_score_gemma":0.00004649359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001625777,"about_ca_topic_score_gemma":0.0001584623,"domain_scores_codex":[0.9982967,0.0001316948,0.0001258606,0.0005572253,0.0002890835,0.0005994781],"domain_scores_gemma":[0.9985996,0.00004906373,0.00008032899,0.0005894488,0.0000231842,0.0006583929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003363194,0.03165432,0.1611504,0.00007173233,0.005901306,0.0003387944,0.08187261,0.2660155,0.07229681,0.3292358,0.03424952,0.01384997],"study_design_scores_gemma":[0.001207784,0.00006634677,0.002085272,0.000008197417,0.0002772444,0.000008519296,0.002758384,0.01802081,0.0005080472,0.00006565319,0.9745949,0.0003988194],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5972345,0.00001537422,0.004885555,0.0003622101,0.00006559048,0.0003663336,0.0001494396,0.0001276767,0.3967933],"genre_scores_gemma":[0.2045867,0.00007087928,0.04886222,0.00005013013,0.00004749948,0.000002172988,0.0007129207,0.0000347846,0.7456326],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9403454,"threshold_uncertainty_score":0.9999627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02880926159263742,"score_gpt":0.2093520145886847,"score_spread":0.1805427529960473,"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."}}