{"id":"W4313502747","doi":"10.3390/en16010032","title":"Charging Stations and Electromobility Development: A Cross-Country Comparative Analysis","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Ministerstwo Edukacji i Nauki; Narodowe Centrum Nauki; York University","keywords":"Automotive industry; Charging station; Transport engineering; Electric vehicle; Cluster (spacecraft); Computer science; Environmental economics; Telecommunications; Engineering; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007700842,0.00008398558,0.0001348774,0.0001198455,0.0003133398,0.00004842615,0.00006663161,0.00001554793,0.0001898446],"category_scores_gemma":[0.000002672531,0.00008681616,0.00002382849,0.0006503862,0.00002271012,0.0000938021,0.00003534081,0.0001428452,8.508181e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008805508,"about_ca_system_score_gemma":0.00002260797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002123878,"about_ca_topic_score_gemma":0.00004386473,"domain_scores_codex":[0.9994668,0.00001643488,0.0001240523,0.0001190316,0.0001111053,0.0001625798],"domain_scores_gemma":[0.9998263,0.00002906465,0.00001884837,0.00008233476,0.00001756726,0.0000259176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000005195017,0.000008913747,0.01808137,0.00001333537,0.0003943901,0.000001719204,0.003600433,0.9701913,0.004129228,0.00185298,0.0002996695,0.001421442],"study_design_scores_gemma":[0.0005227712,0.00007119623,0.6457211,0.000003588265,0.0001892987,0.00001605315,0.002019383,0.2507687,0.03654923,0.001103444,0.06238128,0.0006538828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971282,0.0009305091,0.0005392579,0.000007257054,0.00003554253,0.0000373486,0.00001925326,0.0001215406,0.00118106],"genre_scores_gemma":[0.9988456,0.00001976839,0.0008743562,0.00002391018,0.00001477694,0.00003962826,0.00005763743,0.00000600025,0.0001183015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7194226,"threshold_uncertainty_score":0.354026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006751469571561288,"score_gpt":0.2333033288507147,"score_spread":0.2265518592791534,"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."}}