{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006913742,0.0005884441,0.000725977,0.001391636,0.0009646894,0.0001891401,0.001027435,0.0005140748,0.0001250435],"category_scores_gemma":[0.0003356036,0.0005192426,0.0004029265,0.002606967,0.0008531691,0.0007941375,0.00001327116,0.002417506,0.00003406807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007534032,"about_ca_system_score_gemma":0.0002608572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005577963,"about_ca_topic_score_gemma":0.02362581,"domain_scores_codex":[0.9888325,0.0004309253,0.002422384,0.0009123478,0.004862807,0.002538995],"domain_scores_gemma":[0.9934635,0.002082708,0.0001770054,0.0008655556,0.002509646,0.0009016535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009802377,0.001955168,0.4054773,0.003946446,0.001937548,0.001379997,0.06186496,0.3556736,0.01499114,0.05251386,0.06502837,0.02542917],"study_design_scores_gemma":[0.007012043,0.002104477,0.5779392,0.0008150964,0.000265978,0.00000224671,0.01886495,0.06080491,0.009513631,0.004448636,0.3153445,0.002884396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9427593,0.001615332,0.04830358,0.0004804419,0.0009252151,0.002008516,0.0006690043,0.0006129821,0.00262562],"genre_scores_gemma":[0.9931319,0.001568223,0.0025712,0.00003036506,0.0003065174,0.0001715762,0.0004270861,0.0001876628,0.001605491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2948687,"threshold_uncertainty_score":0.9998839,"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."}}