{"id":"W4402438905","doi":"10.1080/15568318.2024.2397647","title":"Identifying optimal number of driving cycles to represent diverse driving conditions","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Transport engineering; Computer science; Engineering","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":[0.0004780443,0.0006896468,0.0006329794,0.001130974,0.0003350807,0.000632474,0.0004281439,0.0004717809,0.0005248694],"category_scores_gemma":[0.002744036,0.0002812527,0.0005994544,0.0006404616,0.0002023012,0.0006267199,0.0003355497,0.0003215101,0.000214153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004577193,"about_ca_system_score_gemma":0.0009929215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01567162,"about_ca_topic_score_gemma":0.0144333,"domain_scores_codex":[0.9996643,0.00007216672,0.00002654999,0.0001050572,0.00005652661,0.00007537769],"domain_scores_gemma":[0.9992474,0.0002888204,0.0001328289,0.00007000228,0.0002040724,0.00005690917],"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":[0.0004371027,0.0004134616,0.1289414,0.0001627147,0.0001592176,0.0002290782,0.0002122204,0.7155276,0.0104252,0.001863695,0.001902651,0.1397257],"study_design_scores_gemma":[0.00001292613,0.00008782271,0.03776876,0.00001610777,0.00003756115,0.00006851039,0.000124246,0.9576222,0.002465848,0.0009694014,0.0008012177,0.00002530361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8937855,0.0001630884,0.1031612,0.00007433934,0.0000187597,0.00008994082,0.0006674099,0.0002555104,0.001784199],"genre_scores_gemma":[0.9776658,0.00006919793,0.02066391,0.00001304428,0.00000584982,0.0000622108,0.001070615,0.00002449956,0.0004249504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01567162,"threshold_uncertainty_score":0.03116077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039084022985587,"score_gpt":0.2990668411178178,"score_spread":0.2886760008879619,"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."}}