{"id":"W560016158","doi":"","title":"The Trend Toward Use of Smaller Trucks: Modeling Historical Urban Truck Movements","year":2007,"lang":"en","type":"article","venue":"Transportation Research Board 86th Annual MeetingTransportation Research Board","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Urbanization; Population; Diesel fuel; Unemployment; Multivariate statistics; Transport engineering; Econometrics; Environmental science; Economics; Geography; Engineering; Economic growth; Demography; Statistics; Automotive engineering; Mathematics","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":[0.0005247261,0.000327142,0.000232066,0.0007863719,0.0004149333,0.0006975583,0.0007449336,0.0005498776,0.001187875],"category_scores_gemma":[0.001699806,0.0002857606,0.0004447185,0.0009730115,0.0004336205,0.0005814684,0.0003782192,0.0004461384,0.0002146226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002125083,"about_ca_system_score_gemma":0.000779988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3176139,"about_ca_topic_score_gemma":0.4001267,"domain_scores_codex":[0.9998789,0.00003015897,0.00000605064,0.00004166342,0.00001273142,0.00003042463],"domain_scores_gemma":[0.9994616,0.000216851,0.0001448775,0.00004214787,0.00007518029,0.00005933756],"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":[0.0001858149,0.0002097749,0.4332317,0.00003948466,0.00008176257,0.0002480971,0.0006990512,0.5508968,0.001026626,0.001861483,0.0009362033,0.01058316],"study_design_scores_gemma":[0.000007090219,0.00004760168,0.09061118,0.000007318888,0.00001878321,0.00002723057,0.0004503518,0.9075465,0.0002350431,0.0003301275,0.000704885,0.00001399871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974263,0.00003635702,0.001489709,0.00006378001,0.000003329646,0.0000102745,0.0004648548,0.00001597703,0.0004893955],"genre_scores_gemma":[0.9972006,0.00006936484,0.001006639,0.00000658296,0.000004137394,0.00001158262,0.0007608915,0.000007465292,0.0009326737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3176139,"threshold_uncertainty_score":0.6315303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1393655627327377,"score_gpt":0.3320624041165359,"score_spread":0.1926968413837981,"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."}}