{"id":"W3166361909","doi":"10.82308/36424","title":"Urban traffic emissions cost estimation based on an integrated modeling approach","year":2019,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Estimation; Computer science; Transport engineering; Engineering; Systems engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000672121,0.001067989,0.0008383396,0.001647066,0.0005071087,0.001581724,0.001394453,0.001341258,0.002775026],"category_scores_gemma":[0.001606711,0.0007846495,0.001526345,0.001599942,0.0002508773,0.001031048,0.0008330274,0.0009112865,0.0002874375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002571044,"about_ca_system_score_gemma":0.001860514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1086297,"about_ca_topic_score_gemma":0.05379281,"domain_scores_codex":[0.9996263,0.0001024348,0.00002011185,0.00009129909,0.00008005455,0.0000797496],"domain_scores_gemma":[0.9995715,0.0002284041,0.00004620188,0.000015465,0.000117504,0.00002084821],"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":[0.000005746622,0.00001782891,0.000681102,0.000007240984,0.00001418201,0.00001620572,0.000007549003,0.9949375,0.00006238902,0.001775228,0.0001662483,0.002308755],"study_design_scores_gemma":[9.285496e-7,0.000002423631,0.0001079481,0.00000140022,0.000003688473,0.000002192401,0.000003508088,0.9994135,0.00001491897,0.0003298081,0.0001182071,0.000001518091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3416587,0.001270988,0.6246122,0.0008138809,0.0001140209,0.0002793513,0.002508982,0.0006880103,0.02805387],"genre_scores_gemma":[0.9328203,0.000712833,0.05610374,0.00007005381,0.00006568801,0.0002870938,0.001406969,0.000100314,0.008432996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1086297,"threshold_uncertainty_score":0.2159947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851326013741533,"score_gpt":0.223177429870556,"score_spread":0.2046641697331407,"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."}}