{"id":"W7127114263","doi":"10.1155/atr/5979939","title":"Empowering Electric Vehicle Adoption: Innovative Strategies for Optimizing Charging Station Placement Based on Projected Demand","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electric vehicle; Service (business); Charging station; Sensitivity (control systems); Reachability; Linear programming; Sustainable transport; Scale (ratio); Level of service","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001232386,0.000919484,0.0005043929,0.0006758326,0.000302149,0.0011951,0.0009541051,0.0007798772,0.001790997],"category_scores_gemma":[0.003420688,0.0004435475,0.0005575874,0.0006562937,0.0004992256,0.001348821,0.001240547,0.0007762169,0.0001880869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009438603,"about_ca_system_score_gemma":0.00182458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004232254,"about_ca_topic_score_gemma":0.006128727,"domain_scores_codex":[0.9993879,0.0002981595,0.00001922121,0.00009519577,0.000107366,0.0000922567],"domain_scores_gemma":[0.9992873,0.0004084788,0.0001289054,0.00004853537,0.00008972068,0.00003708688],"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":[0.00002613563,0.00006350561,0.001912833,0.00005628668,0.00002771514,0.00005059335,0.00006783988,0.9593774,0.00113077,0.009041226,0.0003818898,0.02786386],"study_design_scores_gemma":[0.000007683006,0.00007607852,0.0006102948,0.00001566899,0.00001749143,0.00001448142,0.0001358234,0.9918065,0.0005309855,0.005793472,0.0009797832,0.00001175148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.199854,0.0003465171,0.7855283,0.0008945959,0.0000473429,0.000204865,0.0001283999,0.0003091337,0.01268687],"genre_scores_gemma":[0.9501869,0.0002034531,0.04858369,0.00004154424,0.000008688901,0.0000776393,0.00006187891,0.00002690619,0.0008092956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004232254,"threshold_uncertainty_score":0.008415222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005993856699981073,"score_gpt":0.2531301538277143,"score_spread":0.2471362971277332,"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."}}