{"id":"W2052263788","doi":"10.1002/atr.5670370202","title":"Fuel consumption model for bus rapid transit","year":2003,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fuel efficiency; Public transport; Transport engineering; Transit (satellite); Consumption (sociology); Automotive engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117082,0.00008136597,0.0001313201,0.00006655636,0.00003296706,0.000006211726,0.00004005085,0.00004678769,0.00002652489],"category_scores_gemma":[0.00000507285,0.0000759569,0.00008616793,0.00006044257,0.00000866456,0.0003528389,7.675975e-8,0.0001052366,0.000001132741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002322493,"about_ca_system_score_gemma":0.00002093135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.281054e-8,"about_ca_topic_score_gemma":0.00000449118,"domain_scores_codex":[0.9994024,0.00000456101,0.0003276822,0.000050992,0.0001032471,0.0001111075],"domain_scores_gemma":[0.9996948,0.00002051833,0.0000771084,0.00005071673,0.00009574141,0.00006109274],"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":[0.00006268984,0.00001495717,0.0001817969,0.0001377183,0.00001664827,0.000001690385,0.0007735947,0.9661087,0.02204282,0.0002657425,0.00005236242,0.0103413],"study_design_scores_gemma":[0.009598074,0.0005234637,0.04284438,0.0004432359,0.0002772758,0.00007275354,0.0004888541,0.845414,0.05795489,0.006139074,0.03546772,0.0007762966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.600953,0.0009400396,0.3976179,0.00001978908,0.000259313,0.00009070837,0.00001818278,0.0000227121,0.00007831516],"genre_scores_gemma":[0.9649606,0.001457227,0.03347116,0.00001571286,0.00003379569,0.0000053019,0.00001191881,0.0000168497,0.0000274154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3641467,"threshold_uncertainty_score":0.3097433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667494832839796,"score_gpt":0.2437161798903987,"score_spread":0.2270412315620007,"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."}}