{"id":"W565267835","doi":"","title":"Operational efficiency : reducing fuel costs and greenhouse gas emissions","year":2009,"lang":"en","type":"article","venue":"","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Environmental science; Climate change; Global warming; Business; Natural resource economics; Subtitle; Climate change mitigation; Environmental economics; Computer science; Economics","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":[0.0007781531,0.000792703,0.0001760231,0.0008316792,0.00146259,0.002346588,0.0006949685,0.001868689,0.01872725],"category_scores_gemma":[0.00150093,0.0001396547,0.000219094,0.0005772901,0.001356681,0.002162913,0.0008329727,0.001809065,0.007581609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004280574,"about_ca_system_score_gemma":0.00303452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02447579,"about_ca_topic_score_gemma":0.03347984,"domain_scores_codex":[0.9990432,0.0001199051,0.00003005449,0.00005681745,0.0006165068,0.0001334979],"domain_scores_gemma":[0.9990614,0.0001710994,0.00007701116,0.00004400695,0.0005274985,0.0001189451],"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":[0.0000645601,0.00008521519,0.0008451222,0.0003626538,0.0000166815,0.00015054,0.0003444797,0.00185982,0.006234482,0.1090637,0.7595732,0.1213997],"study_design_scores_gemma":[0.00001346041,0.00006809409,0.003791634,0.0001852921,0.00001276922,0.0002040077,0.000511489,0.002040355,0.00790746,0.02967954,0.9555541,0.00003184628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008160581,0.009147307,0.01768434,0.1553718,0.01495693,0.0001970728,0.0005471608,0.00108693,0.7928478],"genre_scores_gemma":[0.1877487,0.01327415,0.01380856,0.03407798,0.007871178,0.0002299725,0.0005515559,0.0004868462,0.7419509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02447579,"threshold_uncertainty_score":0.06264889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634027036802046,"score_gpt":0.2070674469663359,"score_spread":0.1907271765983155,"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."}}