{"id":"W2181782723","doi":"","title":"Fleet Services thanks the Divisions, Agencies, Boards and Commissions that are working to green the City's vehicle fl eets. We also thank the Toronto Atmospheric Fund for recent funding for the enhancement of a plug-in hybrid-electric vehicle.","year":2011,"lang":"en","type":"article","venue":"","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Transport engineering; Engineering; Finance","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000825488,0.0007169046,0.0004061822,0.001058445,0.002581349,0.002225797,0.0004628062,0.0007234197,0.2097606],"category_scores_gemma":[0.002834885,0.0003644568,0.000238851,0.001239951,0.00047808,0.001439699,0.001719475,0.0021111,0.04500864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003860363,"about_ca_system_score_gemma":0.01222204,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2565556,"about_ca_topic_score_gemma":0.5023131,"domain_scores_codex":[0.9992394,0.00008327081,0.00001933839,0.00007876144,0.0004399228,0.0001393443],"domain_scores_gemma":[0.9960139,0.000178877,0.00009508843,0.0001439063,0.002249861,0.001318338],"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":[0.0000458512,0.00002469866,0.0009681053,0.00003711023,0.000005809734,0.00007919672,0.0001664903,0.0001177998,0.0003546075,0.003746978,0.9561827,0.03827063],"study_design_scores_gemma":[0.000007031404,0.00001369054,0.001917065,0.00001702528,0.000003173948,0.00004436239,0.0003495916,0.0001501136,0.000136855,0.0001950574,0.9971608,0.000005363462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01209674,0.003279267,0.004462973,0.1206649,0.008669993,0.0002556621,0.02703715,0.002716093,0.8208171],"genre_scores_gemma":[0.02903674,0.001338238,0.002155913,0.002214386,0.0001878593,0.00004919192,0.006793675,0.0006776702,0.9575463],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7902393,"threshold_uncertainty_score":0.7017192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08353550246626275,"score_gpt":0.2758452191050449,"score_spread":0.1923097166387822,"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."}}