{"id":"W4415586596","doi":"10.21083/crrf.v29i1.7705","title":"Accelerate Kootenays: Canada’s First Rural EV Network","year":2025,"lang":"","type":"article","venue":"Proceedings of the Canadian Rural Revitalization Foundation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Scope (computer science); Terrain; Government (linguistics); Greenhouse gas; Electric vehicle; Rural area; Interoperability","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002860787,0.0004267372,0.0004332158,0.0002463488,0.00115057,0.0005327256,0.0007261798,0.0002950908,0.000262803],"category_scores_gemma":[0.0003143802,0.0003910954,0.0001520841,0.002376511,0.00009737533,0.0007370268,0.00006372052,0.0004020353,0.000007012628],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003984889,"about_ca_system_score_gemma":0.003213838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8006081,"about_ca_topic_score_gemma":0.9749632,"domain_scores_codex":[0.99757,0.00001544963,0.0008822263,0.0002699796,0.0004574624,0.000804932],"domain_scores_gemma":[0.9980903,0.00003413361,0.0004283521,0.0002173172,0.0009466136,0.0002833379],"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":[0.00004387876,0.00001664066,0.1036615,0.002679193,0.0005336354,8.59629e-7,0.0004692375,0.07088589,0.001215789,0.2066943,0.5912644,0.02253461],"study_design_scores_gemma":[0.00139287,0.000101736,0.1535894,0.00566157,0.0007404974,0.00002746787,0.0007998241,0.1272005,0.004430624,0.01584288,0.6885453,0.001667304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6984518,0.01352564,0.001398246,0.0984467,0.0246548,0.00880635,0.0002378602,0.0004502739,0.1540283],"genre_scores_gemma":[0.9953228,0.0005813864,0.00008662199,0.0009271092,0.0003606772,0.00002252539,0.00007646253,0.00005167286,0.002570797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2968709,"threshold_uncertainty_score":0.9998541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004863670006539231,"score_gpt":0.1875852008550875,"score_spread":0.1827215308485483,"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."}}