{"id":"W4366572615","doi":"10.1016/j.trd.2023.103732","title":"An Electric Vehicle Transitioning Framework for Public Fleet Planning","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; L.B. Foster Rail Technologies (Canada); Group for Research in Decision Analysis","funders":"","keywords":"Electric vehicle; Range (aeronautics); Cluster analysis; Set (abstract data type); Operations research; Driving range; Computer science; Fleet management; Business; Environmental economics; Transport engineering; Engineering; Telecommunications; Economics","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":[0.001561221,0.0005968243,0.000734303,0.0009469123,0.000839292,0.002975573,0.002253187,0.0009631297,0.01131374],"category_scores_gemma":[0.002566975,0.0004920625,0.001262408,0.001467931,0.001040265,0.00318159,0.002383159,0.001589085,0.0006710827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002453013,"about_ca_system_score_gemma":0.00359638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03582088,"about_ca_topic_score_gemma":0.04011161,"domain_scores_codex":[0.9993299,0.0002542622,0.0000352029,0.0001426972,0.0001198832,0.0001180576],"domain_scores_gemma":[0.999343,0.0002799595,0.00004721529,0.00007882356,0.0001496776,0.0001014474],"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":[0.00003004042,0.00005248105,0.0003024583,0.00003438025,0.00002004311,0.00008469878,0.0001095296,0.536875,0.000170828,0.4391552,0.002463244,0.02070207],"study_design_scores_gemma":[0.00001364597,0.00001803929,0.00009702081,0.00002455975,0.0000130531,0.0000178286,0.0001166056,0.8082108,0.0001182119,0.1804848,0.01087548,0.00001005328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01212686,0.0002963799,0.9545621,0.0009072351,0.00008412772,0.0001341937,0.0005666495,0.0004223208,0.03090002],"genre_scores_gemma":[0.5097748,0.0006269239,0.472103,0.0001392956,0.00008759773,0.0002706393,0.001124268,0.0002098217,0.0156636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03582088,"threshold_uncertainty_score":0.07122475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.042717878626598,"score_gpt":0.2953486666939895,"score_spread":0.2526307880673915,"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."}}