{"id":"W337315481","doi":"","title":"Estimation of Costs of Cars and Light Truck Use per Vehicle-Kilometer in Canada","year":2007,"lang":"en","type":"article","venue":"Transportation Research Board 86th Annual MeetingTransportation Research Board","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Depreciation (economics); Truck; Kilometer; Operating cost; Cost estimate; Transport engineering; Capital cost; License; Variable cost; Vehicle miles of travel; Total cost; Business; Engineering; Automotive engineering; Economics; Computer science","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":[0.0003300873,0.0004970751,0.0003607399,0.004761724,0.0009164045,0.001321081,0.0009174122,0.0002356325,0.002099469],"category_scores_gemma":[0.002524411,0.0003270441,0.0009601635,0.006380943,0.0002248854,0.000517863,0.0004807198,0.0003597723,0.0002551905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0408566,"about_ca_system_score_gemma":0.02076918,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953946,"about_ca_topic_score_gemma":0.9948258,"domain_scores_codex":[0.9991912,0.00003695611,0.00003819076,0.00006902671,0.0004839051,0.0001806246],"domain_scores_gemma":[0.9986519,0.0001432314,0.0001219908,0.0000348315,0.0009669443,0.00008105349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002879996,0.0001116242,0.7653825,0.0002558377,0.0003643984,0.0004324132,0.0005380107,0.1491417,0.00107928,0.006465445,0.008165379,0.06777528],"study_design_scores_gemma":[0.00001408938,0.00004021224,0.9230652,0.00006332147,0.0001093738,0.000132822,0.001170747,0.06244155,0.001326342,0.0005159925,0.01105331,0.00006706308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463262,0.001055251,0.002660191,0.0002070304,0.00001044751,0.0001594224,0.03177145,0.00009936062,0.01771063],"genre_scores_gemma":[0.9748682,0.001102431,0.002526825,0.00002709089,0.000003762505,0.00004827199,0.01446321,0.00002517298,0.006935191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0408566,"threshold_uncertainty_score":0.2964368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02801275533268226,"score_gpt":0.3144585743175097,"score_spread":0.2864458189848274,"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."}}