{"id":"W1979683159","doi":"10.1016/j.envsoft.2010.11.010","title":"Using AHP and Dempster–Shafer theory for evaluating sustainable transport solutions","year":2011,"lang":"en","type":"article","venue":"Environmental Modelling & Software","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":224,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"European Commission","keywords":"Analytic hierarchy process; Sustainability; Dempster–Shafer theory; Measure (data warehouse); Sustainable transport; Computer science; Intelligent transportation system; Process (computing); Operations research; Engineering; Transport engineering; Data mining","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":[0.009040808,0.00129807,0.001697878,0.007227212,0.001240314,0.002215812,0.001097604,0.00132548,0.001964198],"category_scores_gemma":[0.01822044,0.0007332402,0.002012018,0.005630746,0.001143979,0.002533573,0.001480341,0.001298229,0.0001353625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003340648,"about_ca_system_score_gemma":0.002984009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033988,"about_ca_topic_score_gemma":0.01066804,"domain_scores_codex":[0.9916721,0.004488442,0.0004247179,0.0002447652,0.002888883,0.0002810918],"domain_scores_gemma":[0.9872748,0.01037988,0.0005530042,0.0002870554,0.001357593,0.0001476537],"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":[0.0001831788,0.000161273,0.001476755,0.000388006,0.0003802804,0.0001108739,0.0001796482,0.8813974,0.001127033,0.02123344,0.0004048782,0.09295724],"study_design_scores_gemma":[0.00002421941,0.00008577934,0.0003840649,0.00003493255,0.0000475632,0.00001755519,0.00008010098,0.9787374,0.0006429304,0.01954758,0.0003721532,0.00002576283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1154761,0.0009066223,0.8747007,0.0002940597,0.000153226,0.0004565514,0.0001788911,0.0001252492,0.00770859],"genre_scores_gemma":[0.6850706,0.0006015162,0.3126,0.00006027131,0.00005026337,0.0004365765,0.0001552903,0.00003270382,0.0009927668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01033988,"threshold_uncertainty_score":0.04781288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5116639428476715,"score_gpt":0.4163416386453372,"score_spread":0.09532230420233423,"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."}}