{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003327634,0.00007821622,0.00006902348,0.00003425265,0.00005200863,0.0000219733,0.00004606022,0.00003939699,0.0001486212],"category_scores_gemma":[0.000007573824,0.00006660212,0.00001508431,0.00007022076,0.00002079547,0.00005349463,0.000002826933,0.00007762169,0.00001176888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001996308,"about_ca_system_score_gemma":0.000009585041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001029446,"about_ca_topic_score_gemma":0.00001018382,"domain_scores_codex":[0.9995908,0.000002693168,0.0001102976,0.00009528668,0.00007309837,0.0001278517],"domain_scores_gemma":[0.9997933,0.00001430123,0.000004210126,0.00008705427,0.00001339096,0.0000877288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005650504,0.001015411,0.01343301,0.0002888806,0.0001509161,0.0003466601,0.004951773,0.1523431,0.1548823,0.3623735,0.1175729,0.1925851],"study_design_scores_gemma":[0.002094905,0.0004752547,0.1048288,0.0001693471,0.00009787762,0.0001431818,0.0001860329,0.8395112,0.009415885,0.003505111,0.03800242,0.001570011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4735318,0.00244167,0.1774334,0.0008038586,0.0004349796,0.000296498,0.00002947895,0.001365575,0.3436627],"genre_scores_gemma":[0.9958382,0.0001523825,0.003254219,0.00009875429,0.00005501423,9.993411e-7,0.0000101577,0.000008106454,0.0005821337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6871681,"threshold_uncertainty_score":0.2715956,"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."}}