{"id":"W4410132638","doi":"10.1155/atr/2567720","title":"Fuel Consumption Prediction in Regional Transport Based on Selected Bus Line Characteristics","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education and Science","keywords":"Fuel efficiency; Line (geometry); Transport engineering; Consumption (sociology); Automotive engineering; Environmental science; Computer science; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001184939,0.0001079154,0.0001781707,0.0002974131,0.00002608548,0.000004827568,0.00005469346,0.00008136817,0.00003056124],"category_scores_gemma":[0.000008293287,0.0001056262,0.00005119533,0.0003598728,0.00001307992,0.0002217697,1.801745e-7,0.0002901324,0.00000145935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008389208,"about_ca_system_score_gemma":0.00006086332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001022825,"about_ca_topic_score_gemma":0.00002292184,"domain_scores_codex":[0.999072,0.00001036736,0.0005504022,0.00007993068,0.0001731974,0.0001140735],"domain_scores_gemma":[0.9995928,0.00003604886,0.0001103607,0.00006790413,0.000148727,0.00004419952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005244939,0.0000938602,0.0744777,0.0002505747,0.00001805047,0.00001698081,0.0002328473,0.8979529,0.01424447,0.00003736068,0.00006799375,0.0120828],"study_design_scores_gemma":[0.001508566,0.0001251569,0.9431774,0.0005532644,0.00002781234,0.000002731006,0.00001977447,0.050753,0.001773503,0.00004505988,0.001930451,0.00008326793],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820102,0.0001614297,0.01702702,0.0001137934,0.0004434563,0.0001036175,0.00003238191,0.0000445291,0.00006352807],"genre_scores_gemma":[0.9976813,0.0006926924,0.00131997,0.00005241413,0.00006993246,0.000005476573,0.0001382178,0.00001187619,0.00002817451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8686997,"threshold_uncertainty_score":0.430731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00856541757298862,"score_gpt":0.2336455294557737,"score_spread":0.2250801118827851,"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."}}