{"id":"W2165994066","doi":"10.2139/ssrn.1131133","title":"Information Technology and Efficiency in Trucking","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Business; Environmental science","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":[0.002151031,0.0002333033,0.00031063,0.001707964,0.001293419,0.005903041,0.0005866793,0.001836326,0.01560503],"category_scores_gemma":[0.008435211,0.0001929646,0.0004468313,0.005002256,0.002280627,0.004253902,0.001266283,0.001131068,0.001140205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004254888,"about_ca_system_score_gemma":0.003615165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02917694,"about_ca_topic_score_gemma":0.02842833,"domain_scores_codex":[0.9982221,0.0007711583,0.00008217651,0.0001149376,0.0002569761,0.0005525453],"domain_scores_gemma":[0.9936795,0.003613553,0.0009062307,0.0002640501,0.001142957,0.0003936188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000786365,0.0008100355,0.1242419,0.00033269,0.000143091,0.0003630142,0.004311994,0.03288031,0.000844272,0.75469,0.00942571,0.07117066],"study_design_scores_gemma":[0.0001537441,0.0008821246,0.2655771,0.0007043664,0.0002635193,0.0003288119,0.03164482,0.0283558,0.003282209,0.5240631,0.1446265,0.000117932],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6360611,0.008762508,0.008748909,0.01645777,0.0001768488,0.00009204014,0.0004244965,0.00004828414,0.329228],"genre_scores_gemma":[0.9814855,0.002240092,0.0004212882,0.0003232938,0.00006642379,0.00001313219,0.00008986093,0.00001425706,0.01534601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02917694,"threshold_uncertainty_score":0.05801421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004246856359903401,"score_gpt":0.1977454720632474,"score_spread":0.193498615703344,"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."}}