{"id":"W4411040688","doi":"10.18280/jesa.580408","title":"Advanced SCADA-PLC S7-1200 Communication System for Aeration Unit in Wastewater Treatment Stations","year":2025,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Industrial Automation and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SCADA; Aeration; Unit (ring theory); Environmental science; Wastewater; Sewage treatment; Waste management; Computer science; Engineering; Environmental engineering; Electrical engineering; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004774752,0.0002403739,0.0004043508,0.0004330972,0.0003725016,0.0003101394,0.0002186442,0.0001219666,0.00001764654],"category_scores_gemma":[0.00006618795,0.0002098315,0.0001165911,0.0004008782,0.00002733896,0.0004607965,0.00001654407,0.00017978,0.00003657784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009341098,"about_ca_system_score_gemma":0.0001164939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005660084,"about_ca_topic_score_gemma":0.0003096939,"domain_scores_codex":[0.9980692,0.0003091025,0.000970362,0.0001477826,0.0001861861,0.0003174238],"domain_scores_gemma":[0.9990302,0.0001929621,0.0002010264,0.0003043845,0.0001916712,0.00007973694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001907454,0.0002429396,0.002071027,0.001472575,0.0007036957,0.00003299716,0.004630204,0.4413717,0.01514953,0.02237391,0.002912258,0.5088484],"study_design_scores_gemma":[0.007342234,0.0002420773,0.03531351,0.002438826,0.0001419915,0.0001086019,0.003580942,0.9302853,0.004375057,0.0009754167,0.01470518,0.0004908492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9247387,0.003187657,0.04867599,0.000899352,0.002615695,0.003183265,0.0001176124,0.001528599,0.01505311],"genre_scores_gemma":[0.9953056,0.0001143223,0.002322527,0.00002138736,0.00009981424,0.0002645683,0.00004391579,0.00004061607,0.001787238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5083575,"threshold_uncertainty_score":0.8556679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02128355050897942,"score_gpt":0.26204315859674,"score_spread":0.2407596080877606,"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."}}