{"id":"W4377965208","doi":"10.2172/1974577","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator (Fourth Quarter 2022)","year":2023,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"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; U.S. Department of Transportation","keywords":"Quarter (Canadian coin); Electricity; Renewable energy; Transport engineering; Electric vehicle; Environmental economics; Business; Telecommunications; Engineering; Electrical engineering; Economics; Geography","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":[0.0006088217,0.0005460784,0.0002100122,0.002443731,0.0003070986,0.001444968,0.0003778253,0.0003834537,0.007278231],"category_scores_gemma":[0.001757722,0.0002699207,0.0004870382,0.004912969,0.00008363653,0.001173922,0.0007760955,0.000651375,0.005133244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681578,"about_ca_system_score_gemma":0.00171878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08776185,"about_ca_topic_score_gemma":0.09271316,"domain_scores_codex":[0.9994338,0.00003273373,0.00003746497,0.00006310585,0.0003370542,0.00009580381],"domain_scores_gemma":[0.9984562,0.00008343049,0.0002792625,0.00006760571,0.00101173,0.0001017836],"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":[0.0001602317,0.00009006223,0.09763967,0.0005025264,0.0000634433,0.0001772941,0.0003019574,0.002982232,0.0009814346,0.00222198,0.8196539,0.07522541],"study_design_scores_gemma":[0.00001744184,0.00008680014,0.3017657,0.0002351912,0.00005101335,0.0002434115,0.0008203828,0.002378673,0.003085334,0.0004369852,0.6908403,0.00003882964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.09389653,0.001930933,0.002393526,0.00244603,0.0005466642,0.0001116995,0.8039725,0.001331351,0.09337065],"genre_scores_gemma":[0.1715919,0.004752916,0.0048535,0.0008006865,0.0002039683,0.0003264258,0.7518532,0.0004052086,0.06521216],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08776185,"threshold_uncertainty_score":0.174502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144058598596762,"score_gpt":0.2496094566931387,"score_spread":0.2352035968334625,"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."}}