{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004324163,0.0003201894,0.0007958391,0.001235669,0.00008973328,0.000110044,0.0002307692,0.0002925126,0.00001134662],"category_scores_gemma":[0.00001803325,0.0001624888,0.00002931392,0.0008107288,0.0001288418,0.0003643587,0.00004253067,0.000179775,0.00002212237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002426782,"about_ca_system_score_gemma":0.00006290848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003048855,"about_ca_topic_score_gemma":0.000004816532,"domain_scores_codex":[0.9984524,0.00002458729,0.0004883964,0.0004763479,0.0001493665,0.0004089541],"domain_scores_gemma":[0.9996291,0.00000735947,0.00004080212,0.0001949467,0.0000723655,0.00005540893],"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":[0.000001725576,0.00001817054,0.00000201065,0.006739418,0.000007439808,0.000006902261,0.0001622272,0.0008076235,0.0001651904,0.00002283936,0.00003183007,0.9920346],"study_design_scores_gemma":[0.0003833084,0.0006387496,3.563723e-7,0.02669385,0.0002281364,0.001152087,0.00003973111,0.02759761,0.01428442,0.000374788,0.9277571,0.00084986],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001325052,0.9939755,0.004225748,0.00007487366,0.0001250494,0.001133927,0.000001068367,0.0002617251,0.00006964456],"genre_scores_gemma":[0.001778946,0.996981,0.0007586343,0.00001367006,0.00001090171,0.0003452821,0.00002042357,0.00002137203,0.00006981601],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9911848,"threshold_uncertainty_score":0.6626101,"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."}}