{"id":"W616392441","doi":"","title":"An Econometric Analysis of the Impact of Electronic Vehicle Management Systems on the Load Factor of Trucks Operating in Quebec","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Trailer; Transport engineering; Econometric model; TRIPS architecture; Load factor; Engineering; Economics; Econometrics; Automotive engineering","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005378921,0.0006250924,0.001275148,0.00206745,0.0003744369,0.00007238909,0.002176618,0.0002411622,0.001589854],"category_scores_gemma":[0.00003281632,0.000415408,0.001255368,0.007764504,0.001452844,0.0002943385,0.00002927013,0.001977021,0.000007492436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002071,"about_ca_system_score_gemma":0.001389468,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1351418,"about_ca_topic_score_gemma":0.2523786,"domain_scores_codex":[0.9910713,0.0006788548,0.001865411,0.001073292,0.003465032,0.001846061],"domain_scores_gemma":[0.9955716,0.0009115643,0.0005036923,0.001937055,0.0006948808,0.0003812082],"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":[0.0008917682,0.002024892,0.2374343,0.0003692953,0.002618216,0.00002425785,0.006108352,0.1150036,0.00788831,0.6234052,0.00002243279,0.004209457],"study_design_scores_gemma":[0.001205076,0.0008819568,0.9733394,0.0004901044,0.0001727526,1.973496e-7,0.003640974,0.008557523,0.01029758,0.0008085471,0.0001786144,0.0004272676],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705991,0.0001136085,0.0002698372,0.0005459633,0.00004379149,0.00129756,0.0002612275,0.00003667468,0.02683222],"genre_scores_gemma":[0.994997,0.00114909,0.00002824585,0.00004504672,0.0000318227,0.0001626035,0.000147442,0.00006121276,0.003377506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7359052,"threshold_uncertainty_score":0.9998298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07664439589588051,"score_gpt":0.3533531595513792,"score_spread":0.2767087636554987,"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."}}