{"id":"W586080265","doi":"","title":"TRAIN YOUR DRIVERS, TRIM YOUR FUEL BILL","year":2004,"lang":"en","type":"article","venue":"Mass transit","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fuel efficiency; Engineering; Transport engineering; Trim; Fleet management; Diesel fuel; Training (meteorology); Transit (satellite); Automotive engineering; Control (management); Operations management; Public transport; 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":[0.0003049355,0.0002727963,0.0001253223,0.000456387,0.001408348,0.001615647,0.000345066,0.001124241,0.09417066],"category_scores_gemma":[0.002387564,0.0001617486,0.0001044521,0.0002334582,0.0003006089,0.0008161282,0.0004213115,0.0009590115,0.03915626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001356736,"about_ca_system_score_gemma":0.002563305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02539167,"about_ca_topic_score_gemma":0.08455572,"domain_scores_codex":[0.999713,0.00002757205,0.000007881661,0.00001720922,0.0001693136,0.00006501875],"domain_scores_gemma":[0.9993315,0.00005622767,0.00002495956,0.00002790094,0.0003328643,0.0002265992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008963202,0.00005724511,0.001299253,0.00001193006,9.12334e-7,0.00003106477,0.00008303102,0.00005351864,0.0002007727,0.001138982,0.9112133,0.0859011],"study_design_scores_gemma":[0.000005001364,0.00003624514,0.005647625,0.00003063394,0.000001714829,0.0000769423,0.0005089208,0.0001173406,0.0002136218,0.0004596251,0.992897,0.000005296628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01682864,0.001903206,0.002744968,0.159907,0.01027675,0.0001436334,0.000497309,0.001552637,0.8061458],"genre_scores_gemma":[0.03839654,0.001671906,0.001846162,0.01395471,0.001091053,0.00004305721,0.0003213796,0.0001341392,0.9425411],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09417066,"threshold_uncertainty_score":0.3150322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836476795259981,"score_gpt":0.2178717411816983,"score_spread":0.1995069732290985,"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."}}