{"id":"W4415744280","doi":"10.1109/ihtc65087.2025.11216323","title":"A Geospatial Analysis of Public Charging Infrastructure and Electric Vehicle Accessibility in Indigenous Canada","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Electrification; Indigenous; Geospatial analysis; Electric vehicle; Agency (philosophy); Destinations; Closing (real estate)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005626844,0.0002464691,0.0003337656,0.00273329,0.004165918,0.002684536,0.0008771544,0.0002759913,0.003228018],"category_scores_gemma":[0.003088275,0.0001648798,0.0005470656,0.007624507,0.001257399,0.0005365047,0.002327817,0.0005579008,0.0002070724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02265511,"about_ca_system_score_gemma":0.04236698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963608,"about_ca_topic_score_gemma":0.9978085,"domain_scores_codex":[0.9992767,0.00007590967,0.00002981046,0.00008326986,0.0002159831,0.0003183791],"domain_scores_gemma":[0.9982415,0.0002663287,0.0001877749,0.00007329329,0.0009220507,0.0003090301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000945624,0.0000960881,0.9362015,0.0001467855,0.00009422051,0.0005332968,0.02804114,0.001033041,0.0005544977,0.004408802,0.002994413,0.02580159],"study_design_scores_gemma":[0.000003250484,0.00001881775,0.9162095,0.0001164256,0.00004556861,0.000112987,0.07526876,0.001650078,0.0001117389,0.0003215823,0.006110177,0.00003116692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904513,0.000265913,0.0002564403,0.0003266194,0.000006484257,0.00004209714,0.001824577,0.00001178669,0.006814715],"genre_scores_gemma":[0.9973812,0.0002499114,0.0003603234,0.00002865781,0.000001984409,0.00001694179,0.0006775871,0.000005905926,0.001277561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02265511,"threshold_uncertainty_score":0.1643751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003599905791329248,"score_gpt":0.2063715427106659,"score_spread":0.2027716369193366,"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."}}