{"id":"W2786300917","doi":"10.1109/ascc.2017.8287620","title":"Setpoint control for reacting to wastewater influent in BSM1","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Setpoint; Wastewater; Environmental science; Control (management); Sewage treatment; Control theory (sociology); Environmental engineering; Computer science; Artificial intelligence","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":[0.0001398113,0.0000910368,0.0001546303,0.00005464029,0.00006146698,0.00006565618,0.0001206234,0.00004071673,0.000006794441],"category_scores_gemma":[0.0001444429,0.00008367422,0.0000269125,0.00001719424,0.000004115315,0.0002418805,0.00001648771,0.00004612515,0.00002425037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008610977,"about_ca_system_score_gemma":0.000003541266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004521771,"about_ca_topic_score_gemma":0.0001486012,"domain_scores_codex":[0.9994093,0.000005594792,0.0002056229,0.0001168998,0.00005404134,0.0002085211],"domain_scores_gemma":[0.9995439,0.00003993302,0.00003541875,0.0003003605,0.00003099742,0.00004936311],"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":[0.00002896892,0.000004501616,0.001065621,0.00003138242,0.00001501553,0.000001492205,0.0001760627,0.9630562,0.03127722,0.0003496077,0.0001246329,0.003869262],"study_design_scores_gemma":[0.003906093,0.00004770119,0.004545608,0.0001030491,0.00001057733,0.000002873332,0.0001074814,0.9688939,0.01374609,0.0003187684,0.007974368,0.0003434342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1786405,0.00002829209,0.809561,0.0006656465,0.0005503358,0.001545402,0.000009697733,0.0002912426,0.00870792],"genre_scores_gemma":[0.9907131,8.584321e-7,0.008607967,0.00007526647,0.00008407367,0.0001961378,0.000001635758,0.00002680341,0.0002941915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8120726,"threshold_uncertainty_score":0.3412136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009412659479756879,"score_gpt":0.2455716314376953,"score_spread":0.2361589719579384,"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."}}