{"id":"W2131846481","doi":"10.1155/2013/874805","title":"A Hybrid Stochastic-Interval Analytic Hierarchy Process Approach for Prioritizing the Strategies of Reusing Treated Wastewater","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; United Nations Development Programme; United Nations","keywords":"Reuse; Landscaping; Analytic hierarchy process; Interval (graph theory); Process (computing); Computer science; Lexicographical order; Operations research; Engineering; Mathematics; Waste management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002929515,0.000292336,0.000708958,0.0005064499,0.00008238307,0.0006150399,0.0009184322,0.00007979039,0.00008612736],"category_scores_gemma":[0.003680548,0.000175625,0.0001783404,0.0006413201,0.0001128276,0.0006441296,0.0002058356,0.0002742748,0.00001989214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006076999,"about_ca_system_score_gemma":0.00003945652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001027737,"about_ca_topic_score_gemma":8.234508e-7,"domain_scores_codex":[0.9963046,0.00008256164,0.001581796,0.0005259544,0.0009647046,0.0005404046],"domain_scores_gemma":[0.9962646,0.0023678,0.0002541252,0.0006815536,0.0003344628,0.00009740346],"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":[0.00001742693,0.0001633946,0.00004724077,0.0008967873,0.00003785768,0.000003921061,0.003320389,0.97321,0.01512536,0.004392002,0.00005628697,0.002729305],"study_design_scores_gemma":[0.0003882825,0.0000420214,0.0000602471,0.000433402,0.00001544574,0.00003451297,0.001782,0.9066192,0.0009031583,0.08953497,0.000006746183,0.0001800112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2841199,0.00004552608,0.7142372,0.00006821916,0.00005338588,0.001112679,0.000005011317,0.00005148424,0.0003065596],"genre_scores_gemma":[0.9487863,3.903713e-7,0.05073418,0.000007901839,0.00004473596,0.0003158527,0.000002254022,0.00004279042,0.00006564939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6646663,"threshold_uncertainty_score":0.7161779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08914447505457057,"score_gpt":0.3528421934415956,"score_spread":0.263697718387025,"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."}}