{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006160866,0.0004227204,0.000162677,0.0005523254,0.006508246,0.003190684,0.0009696148,0.001068931,0.04246905],"category_scores_gemma":[0.0008997194,0.0002913412,0.0002703289,0.0006969287,0.001205637,0.0008298865,0.002178864,0.001476365,0.005928585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02050649,"about_ca_system_score_gemma":0.08149459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9612397,"about_ca_topic_score_gemma":0.9907942,"domain_scores_codex":[0.9990597,0.00003885905,0.000005887892,0.0000621837,0.0004039051,0.0004295273],"domain_scores_gemma":[0.9982461,0.00003904042,0.0000162893,0.00004619111,0.0006843673,0.0009680606],"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":[0.0001192188,0.0001415377,0.007160878,0.0001158735,0.0000121048,0.000481891,0.0009788538,0.0005589715,0.00206231,0.01550864,0.8899589,0.08290082],"study_design_scores_gemma":[0.00001379382,0.00002761836,0.007645064,0.00004605538,0.00000439387,0.00006169976,0.001311364,0.0003964019,0.0003486751,0.000487241,0.9896422,0.00001543747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05275779,0.002487267,0.005060974,0.03044483,0.00175286,0.0005095004,0.008878916,0.001860311,0.8962476],"genre_scores_gemma":[0.08828197,0.001709714,0.004587285,0.003027224,0.00004951082,0.0000922095,0.003919059,0.0004232844,0.8979098],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04246905,"threshold_uncertainty_score":0.1487857,"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."}}