{"id":"W2093794525","doi":"10.3166/jds.18.185-201","title":"A Hybrid Approach for Evaluating Environmental Impacts for Urban Transportation Mode Sharing","year":2009,"lang":"en","type":"article","venue":"Journal of Decision System","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"European Commission","keywords":"Measure (data warehouse); Computer science; Analytic hierarchy process; Variable (mathematics); Performance indicator; Sustainable transport; Operations research; Transport engineering; Environmental economics; Sustainability; Mathematics; Business; Data mining; Engineering","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":[0.001783527,0.00008442409,0.0002130184,0.0001302111,0.0003190201,0.00007839879,0.0001590548,0.00005896387,0.000004141405],"category_scores_gemma":[0.0001272474,0.00007409637,0.0001787548,0.00007573307,0.00001302796,0.0003730433,6.657184e-7,0.00006337453,6.932004e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000159737,"about_ca_system_score_gemma":0.00008280725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000729979,"about_ca_topic_score_gemma":0.000003948603,"domain_scores_codex":[0.9984284,0.00003938631,0.0006575834,0.0001374336,0.0005669228,0.0001702535],"domain_scores_gemma":[0.998885,0.0002043486,0.0005715941,0.00007037277,0.0001497226,0.0001189345],"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":[0.004192581,0.0005346749,0.02972141,0.0003282325,0.0001911121,0.00002957295,0.07379856,0.7711453,0.005477686,0.01067705,0.003847475,0.1000564],"study_design_scores_gemma":[0.01692781,0.003762423,0.1029455,0.002503322,0.0008824085,0.0001103722,0.05559796,0.8034014,0.001810557,0.004982516,0.005866895,0.001208893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4144294,0.0001053708,0.5847683,0.00003437384,0.0001502656,0.0003373302,0.00004681058,0.0000150358,0.0001131478],"genre_scores_gemma":[0.9093599,0.00001101089,0.09027198,0.00002006832,0.0002177359,0.000007955411,0.00004778026,0.000008742296,0.0000548822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4949304,"threshold_uncertainty_score":0.3021562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04501613370304321,"score_gpt":0.3534584347414834,"score_spread":0.3084423010384402,"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."}}