{"id":"W4411964944","doi":"10.1038/s44333-025-00048-2","title":"Route selection guidelines and prioritization tools for efficient electrification of bus fleets","year":2025,"lang":"en","type":"article","venue":"npj Sustainable Mobility and Transport","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Prioritization; Electrification; Selection (genetic algorithm); Computer science; Transport engineering; Operations research; Business; Engineering; Electricity; Process management; Artificial intelligence; Electrical engineering","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":[0.002671876,0.001479503,0.0005955033,0.005939678,0.0007629352,0.0021504,0.001086263,0.000648288,0.00725553],"category_scores_gemma":[0.010094,0.0004717602,0.0004382164,0.001996877,0.0003057381,0.00179095,0.001042521,0.0009840422,0.001943231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136892,"about_ca_system_score_gemma":0.003699549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01435161,"about_ca_topic_score_gemma":0.02236248,"domain_scores_codex":[0.9985359,0.0006967403,0.0001124276,0.0001369157,0.0003472348,0.0001709115],"domain_scores_gemma":[0.9955938,0.001700609,0.0005699475,0.0001617633,0.001755138,0.0002187643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003392649,0.0007101467,0.02710259,0.0006878299,0.00008318565,0.0005015914,0.0008595079,0.3804459,0.01039946,0.02773583,0.03361934,0.5175154],"study_design_scores_gemma":[0.00007988757,0.0003383729,0.009630548,0.0003599977,0.00005560975,0.0001809857,0.001934458,0.9459521,0.008366251,0.01342523,0.01959258,0.00008412571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1609211,0.0009062518,0.7955367,0.001921613,0.000140325,0.001882803,0.001968404,0.006127149,0.03059581],"genre_scores_gemma":[0.4891716,0.0004087781,0.5027335,0.00009137658,0.00002887657,0.0005168769,0.002092883,0.0002206188,0.004735539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01435161,"threshold_uncertainty_score":0.02853614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007652293541596931,"score_gpt":0.2330933368480257,"score_spread":0.2254410433064287,"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."}}