{"id":"W1992550330","doi":"10.2166/wst.2009.538","title":"Decision support systems in water and wastewater treatment process selection and design: a review","year":2009,"lang":"en","type":"review","venue":"Water Science & Technology","topic":"Process Optimization and Integration","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Decision support system; USable; Selection (genetic algorithm); Identification (biology); Risk analysis (engineering); Heuristic; Engineering; Decision analysis; Process (computing); Computer science; Management science; Operations research; Artificial intelligence; Business","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":[0.003146393,0.001156352,0.002074882,0.00284679,0.0003891562,0.001739415,0.00191854,0.002155729,0.002640318],"category_scores_gemma":[0.004066108,0.0004759046,0.0008476389,0.005973061,0.0008499678,0.002158603,0.0007000647,0.001171802,0.00153917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045357,"about_ca_system_score_gemma":0.002173991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002350759,"about_ca_topic_score_gemma":0.00271564,"domain_scores_codex":[0.998551,0.0004937239,0.0002323895,0.0001608765,0.0005007755,0.00006127558],"domain_scores_gemma":[0.9955724,0.00329178,0.0002978566,0.00007342969,0.0006912361,0.00007327663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006513218,0.0001346301,0.0003143173,0.0286177,0.0001744466,0.0001782952,0.0001456636,0.004119007,0.0009846744,0.01020802,0.007900858,0.9471573],"study_design_scores_gemma":[0.00007297168,0.0004256557,0.001658336,0.02362625,0.0004903572,0.001110829,0.0003397367,0.004130705,0.002576878,0.01902598,0.9464328,0.0001094861],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003055317,0.9941798,0.003643987,0.0002896034,0.0001315858,0.00002079223,0.00002040077,0.00001738573,0.00139097],"genre_scores_gemma":[0.00384747,0.989239,0.006000251,0.000160863,0.0001649429,0.00003754555,0.00005137377,0.000004666774,0.0004939458],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003146393,"threshold_uncertainty_score":0.01663995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02509422019593073,"score_gpt":0.2952489626957845,"score_spread":0.2701547424998538,"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."}}