{"id":"W1998755931","doi":"10.1109/tc.2013.140","title":"A Decision Support System for the Design and Evaluation of Sustainable Wastewater Solutions","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Computers","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Australian National University","keywords":"Computer science; Context (archaeology); Sustainability; Decision support system; Modular design; Component (thermodynamics); Scalability; Brainstorming; Relation (database); Risk analysis (engineering); Systems engineering; Process management; Management science; Engineering; 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":[0.004800841,0.001745399,0.001495656,0.002399227,0.00131443,0.004991481,0.002900818,0.002238969,0.02811797],"category_scores_gemma":[0.0130385,0.000795213,0.0008974141,0.001775611,0.0007904021,0.002987978,0.002544688,0.001792792,0.008353393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157511,"about_ca_system_score_gemma":0.002626032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003379123,"about_ca_topic_score_gemma":0.002372068,"domain_scores_codex":[0.9970351,0.0008746034,0.0005271923,0.0003863672,0.001046681,0.0001299466],"domain_scores_gemma":[0.9936755,0.003164184,0.0003909014,0.0008851174,0.001382506,0.0005016967],"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":[0.002095428,0.0009951432,0.004706542,0.001626046,0.0003527398,0.002163566,0.001237184,0.1163839,0.03146281,0.06452037,0.1708546,0.6036017],"study_design_scores_gemma":[0.0007987326,0.0003385716,0.001034784,0.000340749,0.0001556804,0.0003411708,0.0002014192,0.7670106,0.01861225,0.04045578,0.1705093,0.0002009549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01042732,0.0003055252,0.8450707,0.001092061,0.0002883219,0.00146428,0.004339317,0.1214976,0.01551497],"genre_scores_gemma":[0.1588222,0.0005707358,0.8164463,0.0007394743,0.0001897107,0.002531892,0.007141907,0.002201929,0.01135578],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02811797,"threshold_uncertainty_score":0.09406394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05615901720524843,"score_gpt":0.270272907409917,"score_spread":0.2141138902046686,"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."}}