{"id":"W4233107795","doi":"10.2172/1783774","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator: Third Quarter 2020","year":2021,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Compressed natural gas; Renewable energy; Transport engineering; Electric vehicle; Fossil fuel; Charging station; Telecommunications; Engineering; Business; Electrical engineering; Geography; Waste management","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":[0.0003941281,0.0004106351,0.0002102789,0.002308591,0.0002738817,0.001640004,0.0003762903,0.0004107737,0.006618311],"category_scores_gemma":[0.00134548,0.0001863329,0.0005045273,0.005889625,0.000103145,0.001392647,0.0006463628,0.0007103426,0.004758469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001816154,"about_ca_system_score_gemma":0.001462998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09301823,"about_ca_topic_score_gemma":0.113693,"domain_scores_codex":[0.9995475,0.00002286317,0.00003700347,0.00006660268,0.000227108,0.00009875273],"domain_scores_gemma":[0.9985261,0.00007397182,0.0003910449,0.00004108798,0.0008299322,0.0001378427],"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":[0.0002175757,0.0001147146,0.2841195,0.0006667657,0.000102338,0.0002224976,0.0005349712,0.003465964,0.001365298,0.004061434,0.5666139,0.1385151],"study_design_scores_gemma":[0.0000112857,0.0000857347,0.6552404,0.0002527163,0.00005268921,0.0003954228,0.001152372,0.002471735,0.00155438,0.0003304956,0.3384204,0.00003242323],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2857224,0.009510147,0.003127377,0.006127209,0.001019159,0.00009132947,0.560556,0.002153952,0.1316923],"genre_scores_gemma":[0.5172043,0.0100347,0.002575408,0.001561266,0.0002734927,0.0001486364,0.4276367,0.0002627053,0.04030279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09301823,"threshold_uncertainty_score":0.1849536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007663507523299294,"score_gpt":0.2260624763215432,"score_spread":0.2183989687982439,"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."}}