{"id":"W2004529322","doi":"10.5539/jsd.v1n2p39","title":"UrusSisa: An Intelligent System for Integrated Solid Waste Management","year":2009,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministério da Ciência, Tecnologia e Inovação","keywords":"Analytic hierarchy process; Ranking (information retrieval); Incineration; Municipal solid waste; Structuring; Solid waste management; Process (computing); Computer science; Waste management; Environmental science; Business; Operations research; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009768626,0.001106255,0.001255109,0.001292752,0.0005258905,0.001446265,0.001703656,0.0009801455,0.01240051],"category_scores_gemma":[0.001687714,0.0004369964,0.0006282655,0.0009249948,0.0003905607,0.001573346,0.001474436,0.0008504838,0.004927205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005945666,"about_ca_system_score_gemma":0.0009513861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001549724,"about_ca_topic_score_gemma":0.001324798,"domain_scores_codex":[0.9991842,0.0001411284,0.00008853259,0.000173541,0.000343395,0.00006921224],"domain_scores_gemma":[0.9995234,0.0001316527,0.00006262012,0.00008586971,0.0001434561,0.00005299444],"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":[0.002354811,0.0008281557,0.004261438,0.001450134,0.0003704406,0.0007895764,0.0007648193,0.04384459,0.08938184,0.01124971,0.04982306,0.7948815],"study_design_scores_gemma":[0.0005205615,0.001107185,0.005526612,0.0002718836,0.0004794396,0.001011351,0.000186142,0.7117687,0.09393848,0.01035553,0.1745599,0.0002742154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02502652,0.001034454,0.7942151,0.0002752212,0.0002207859,0.001028728,0.002038706,0.1628402,0.01332023],"genre_scores_gemma":[0.3344246,0.001074252,0.6340419,0.0005754895,0.0001148259,0.001886261,0.005385522,0.001653891,0.02084335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01240051,"threshold_uncertainty_score":0.04148382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08607993894304547,"score_gpt":0.3904468486243401,"score_spread":0.3043669096812947,"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."}}