{"id":"W4402876429","doi":"10.2172/2447837","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator: First Quarter 2024","year":2024,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Renewable Energy Laboratory; Argonne National Laboratory; Otsuka Canada Pharmaceutical; Office of Energy Efficiency; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; U.S. Department of Transportation","keywords":"Quarter (Canadian coin); Electric vehicle; Transport engineering; Telecommunications; Environmental science; Engineering; Geography; Archaeology; Physics","routes":{"ca_aff":false,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002211567,0.0006627996,0.0005215535,0.0003914034,0.0001543282,0.0003590798,0.00047628,0.0005296362,0.002413931],"category_scores_gemma":[0.00003099452,0.0004570356,0.0002566254,0.001090767,0.00002492254,0.0001952695,0.00006658433,0.002030113,0.0001392999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008836887,"about_ca_system_score_gemma":0.0002334192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009255167,"about_ca_topic_score_gemma":0.0003340243,"domain_scores_codex":[0.997231,0.00003287743,0.0006337856,0.0005953275,0.0008964813,0.0006105054],"domain_scores_gemma":[0.9988933,0.0001777823,0.0001415299,0.000497048,0.0001801693,0.0001101583],"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":[0.000007344086,0.000005884745,0.0004051767,0.0003091887,0.0008436447,0.00004612473,0.001137034,0.0245811,0.001170071,0.0001605516,0.8572427,0.1140912],"study_design_scores_gemma":[0.0003938955,0.0001040468,0.005825767,0.0005769684,0.000561849,0.00007539175,0.0003813285,0.4649285,0.002743726,0.004522701,0.5184731,0.001412639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1405372,0.1430407,0.02538703,0.003958916,0.03786785,0.001973432,0.002817974,0.005421489,0.6389955],"genre_scores_gemma":[0.9827757,0.004634926,0.0002671401,0.0002210365,0.004697131,0.00006578716,0.0006902783,0.0003003726,0.006347619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8422385,"threshold_uncertainty_score":0.9997882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007717368271911763,"score_gpt":0.2274431264363716,"score_spread":0.2197257581644598,"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."}}