{"id":"W4400516241","doi":"10.2172/2395898","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator: Fourth Quarter 2023","year":2024,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Renewable Energy Laboratory; Argonne National Laboratory; Office of Energy Efficiency; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; Syracuse University; U.S. Department of Transportation","keywords":"Quarter (Canadian coin); Electric vehicle; Environmental science; Transport engineering; Engineering; Geography; Physics; Archaeology","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":[0.0004818657,0.0003994,0.0002001029,0.002095807,0.000329652,0.001511254,0.0003763714,0.0003899459,0.007443978],"category_scores_gemma":[0.001611598,0.0002207614,0.0005357497,0.004881529,0.00009483437,0.001077121,0.0006617927,0.0006605095,0.006049667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001947795,"about_ca_system_score_gemma":0.00190115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1093859,"about_ca_topic_score_gemma":0.1000907,"domain_scores_codex":[0.9995216,0.00002562331,0.00003517301,0.00005106273,0.0002718178,0.00009472696],"domain_scores_gemma":[0.9983377,0.00007560826,0.0003298121,0.00005896728,0.001087414,0.0001104334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001829071,0.00008230441,0.1541659,0.0005084712,0.00006622206,0.0002087167,0.0003871242,0.002993754,0.001143582,0.002573178,0.7411613,0.09652641],"study_design_scores_gemma":[0.00001454574,0.00007117268,0.4196649,0.0002467908,0.00005220231,0.0003162267,0.001048696,0.002898594,0.002945479,0.0004591769,0.5722466,0.00003568644],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1623126,0.002950528,0.002870975,0.004619815,0.0006801239,0.0001025351,0.711911,0.001799948,0.1127526],"genre_scores_gemma":[0.324753,0.006739165,0.004165671,0.001422472,0.0002691544,0.0002915447,0.5885752,0.0005137732,0.07327005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1093859,"threshold_uncertainty_score":0.2174983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009127072469128568,"score_gpt":0.2349336157922396,"score_spread":0.2258065433231111,"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."}}