{"id":"W2216742479","doi":"","title":"Developing Regional 24-Hour Profiles for Link-Based, Speed-Dependent Vehicle Emissions and Zone-Based Soaks","year":2008,"lang":"en","type":"article","venue":"Transportation Research Board 87th Annual MeetingTransportation Research Board","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Dispersion (optics); Representation (politics); Meteorology; Transport engineering; Spatial dispersion; Vehicle miles of travel; Computer science; Engineering; Geography","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":[0.0004806854,0.0004747631,0.0003878559,0.0009790573,0.0002502232,0.0006670369,0.0005177608,0.0002110524,0.0007364594],"category_scores_gemma":[0.001500169,0.0002639118,0.0005933141,0.001223615,0.00008914602,0.0005336089,0.00030083,0.0002589416,0.0003678672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001266019,"about_ca_system_score_gemma":0.001466738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1846781,"about_ca_topic_score_gemma":0.2789493,"domain_scores_codex":[0.999816,0.00002618938,0.00001106943,0.00006000546,0.00006143096,0.00002534888],"domain_scores_gemma":[0.9995796,0.00006373419,0.00005354145,0.00005123535,0.0002316338,0.00002024766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000145861,0.00009783479,0.1273719,0.0001096151,0.0001689067,0.0001203685,0.0003522721,0.7919399,0.0117037,0.001477215,0.001497428,0.06501489],"study_design_scores_gemma":[0.00001995062,0.0001004504,0.163163,0.00002259378,0.00005575655,0.0000618655,0.00051957,0.8214864,0.009072746,0.0005945642,0.004841985,0.00006110096],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8319457,0.0001448251,0.149932,0.00006920961,0.0000198371,0.0001657283,0.01063923,0.001608131,0.005475407],"genre_scores_gemma":[0.9218839,0.0001259642,0.06677324,0.000007356528,0.000004983851,0.00009280418,0.009594613,0.0001040483,0.001413211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1846781,"threshold_uncertainty_score":0.3672063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09577547485477113,"score_gpt":0.3552840530336089,"score_spread":0.2595085781788378,"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."}}