{"id":"W1769865111","doi":"","title":"10 years of benchmarks development for improving wastewater treatment plants control strategies","year":2008,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Control (management); Sewage treatment; Computer science; Environmental science; Waste management; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04234549,0.00229548,0.002596818,0.003831015,0.001329912,0.008175826,0.003775469,0.002886584,0.007385952],"category_scores_gemma":[0.03614399,0.0004834531,0.001465893,0.006119245,0.00129163,0.004822782,0.004910485,0.002641766,0.001316756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01192036,"about_ca_system_score_gemma":0.02133749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02059831,"about_ca_topic_score_gemma":0.0156656,"domain_scores_codex":[0.9770817,0.007339558,0.001723949,0.001669361,0.01015039,0.00203495],"domain_scores_gemma":[0.9484344,0.009719319,0.004081743,0.004627577,0.03078029,0.0023567],"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":[0.0006833051,0.001153797,0.0121009,0.002270948,0.0002842414,0.0001522957,0.0006265139,0.03821727,0.0101395,0.0530671,0.03058775,0.8507164],"study_design_scores_gemma":[0.0004094252,0.007026907,0.07971494,0.005826705,0.0006783098,0.0003285033,0.00490476,0.09261061,0.05991355,0.1141501,0.6340138,0.000422258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2171918,0.09913992,0.4210588,0.07464573,0.006977582,0.002994085,0.008875282,0.00444584,0.164671],"genre_scores_gemma":[0.6952502,0.02435134,0.2422235,0.004317623,0.0008777644,0.0009893641,0.0101069,0.0004202965,0.02146299],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04234549,"threshold_uncertainty_score":0.223947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010307309569222,"score_gpt":0.2384294919972105,"score_spread":0.2183264189015183,"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."}}