{"id":"W1041927349","doi":"10.1007/978-3-642-37030-4_6","title":"Emissions Models as a Design Tool for Urban Transportation Planners","year":2013,"lang":"en","type":"book-chapter","venue":"Springer environmental science and engineering","topic":"Science and Climate Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Greenhouse gas; Metropolitan area; Transport engineering; Scale (ratio); Environmental science; Variety (cybernetics); Computer science; Engineering; Geography","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":[0.0008265136,0.001469656,0.0007781353,0.0006006715,0.0004229092,0.001996161,0.001491908,0.001061324,0.01712941],"category_scores_gemma":[0.001911017,0.001094652,0.0008409751,0.0007917571,0.0004299863,0.002331802,0.001046586,0.001732207,0.002137268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009248931,"about_ca_system_score_gemma":0.001186328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005526968,"about_ca_topic_score_gemma":0.008923083,"domain_scores_codex":[0.9997116,0.0001243294,0.00001322203,0.0000295059,0.0001052874,0.00001605742],"domain_scores_gemma":[0.9994102,0.0003810179,0.00002753428,0.00004031432,0.0001182467,0.0000226404],"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":[0.00001451431,0.00002356694,0.00009840006,0.00004812372,0.0000169036,0.00003155995,0.00003231542,0.920552,0.0003903698,0.0476708,0.005924608,0.02519687],"study_design_scores_gemma":[0.00001070337,0.00001105529,0.00004158245,0.00003403111,0.00001246753,0.00001194809,0.00002453823,0.914798,0.0004612709,0.05813039,0.02645355,0.000010484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003228239,0.0005850199,0.9562256,0.0008752165,0.0001687158,0.00005969024,0.0005677767,0.001392827,0.03689696],"genre_scores_gemma":[0.2350752,0.003434703,0.6678722,0.0003849521,0.0003046159,0.0006989138,0.001571892,0.002018226,0.08863939],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01712941,"threshold_uncertainty_score":0.05730361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577326866134336,"score_gpt":0.192796317595367,"score_spread":0.1770230489340237,"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."}}