{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009361096,0.00008778436,0.00009103272,0.00005685676,0.0002903788,0.00004141944,0.0001878102,0.00005167013,0.00004213579],"category_scores_gemma":[0.00001155173,0.00006081106,0.00004378087,0.0001222144,0.0001403271,0.0001950522,0.000008161868,0.00006212963,0.00003377465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002211221,"about_ca_system_score_gemma":0.00001258013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003135396,"about_ca_topic_score_gemma":0.000004233365,"domain_scores_codex":[0.9990596,0.00008587012,0.0001755704,0.0001810693,0.0002895299,0.0002084252],"domain_scores_gemma":[0.9991674,0.0004147729,0.00004702627,0.0002700459,0.00007182034,0.00002897382],"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":[0.00003236989,0.00007584909,0.00002675023,0.00002887487,0.00003822272,3.843436e-7,0.0005315421,0.9077446,0.003063779,0.00008904375,0.003801423,0.08456717],"study_design_scores_gemma":[0.001153269,0.0004691437,0.001588768,0.00006498396,0.0001806761,0.00001067562,0.002871984,0.8284674,0.1622568,0.002149554,0.0005518608,0.000234968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1686077,0.000005539313,0.8295446,0.0002396956,0.0004003087,0.001112404,0.000002141349,0.00007445994,0.0000131303],"genre_scores_gemma":[0.9654364,0.000003027264,0.03407411,0.000009186402,0.000009986708,0.0003822715,3.24758e-7,0.000007904283,0.00007680829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7968286,"threshold_uncertainty_score":0.2479803,"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."}}