{"id":"W4406736168","doi":"10.1016/j.ifacol.2025.01.050","title":"Black-box modelling of non-stationary N2O dynamics in a full-scale wastewater treatment plant","year":2024,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kruger (Canada)","funders":"","keywords":"Black box; Environmental science; Scale (ratio); Wastewater; Full scale; Dynamics (music); Sewage treatment; Waste management; Environmental engineering; Computer science; Engineering; Physics; Geography; Artificial intelligence; Cartography","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":[0.0001517918,0.000167552,0.0002240402,0.00008761826,0.00003884151,0.00002610017,0.000116948,0.00006374572,0.0001650807],"category_scores_gemma":[0.000002016245,0.0001292466,0.0001141898,0.0002454559,0.00008779041,0.0001245339,0.00005184272,0.00009576326,0.0001560605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004611851,"about_ca_system_score_gemma":0.00001343199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002178706,"about_ca_topic_score_gemma":0.0005282289,"domain_scores_codex":[0.9988179,0.00003668712,0.0003086427,0.0003420173,0.0002546027,0.0002401575],"domain_scores_gemma":[0.9996514,0.00004966724,0.00003767327,0.0001882918,0.000004171793,0.00006876588],"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":[0.00009927298,0.0006434336,0.01580093,0.0001500304,0.0001502014,0.0001702041,0.01320117,0.8722606,0.09137914,0.00004333614,0.00001636094,0.006085357],"study_design_scores_gemma":[0.0002401046,0.0001206065,0.0005808996,0.00009812492,0.00004980724,0.000005343795,0.001359148,0.9892774,0.007882569,0.00008993327,0.0001234266,0.000172619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969312,0.0000627374,0.001502306,0.0007268156,0.0001011884,0.00009777527,0.0001900104,0.0000362555,0.000351718],"genre_scores_gemma":[0.9574077,0.00008759093,0.03963291,0.00001252279,0.00008170091,0.00001122249,0.0002234341,0.00001896917,0.002523965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1170168,"threshold_uncertainty_score":0.5270522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02080200737673303,"score_gpt":0.2472056939642007,"score_spread":0.2264036865874677,"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."}}