{"id":"W3172506126","doi":"10.3390/su13115986","title":"Energy Logistics Cost Study for Wireless Charging Transportation Networks","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Civil, Mechanical and Manufacturing Innovation; York University; Secretaría de Educación Superior, Ciencia, Tecnología e Innovación; National Science Foundation","keywords":"Wireless; Battery (electricity); Electricity; Automotive engineering; Electrical engineering; Telecommunications; Engineering; Power (physics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003225262,0.0002023541,0.0003129184,0.00004190902,0.00009713274,0.00004905261,0.0001313577,0.0001107858,0.00001156372],"category_scores_gemma":[0.00005273459,0.0002299064,0.0001022144,0.0002796591,0.00003896514,0.0001023916,0.000006146317,0.000137913,4.806627e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005379202,"about_ca_system_score_gemma":0.0001405685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001247812,"about_ca_topic_score_gemma":0.001389311,"domain_scores_codex":[0.9985868,0.00007774625,0.0004013526,0.0003401419,0.0001604346,0.0004335266],"domain_scores_gemma":[0.9986649,0.000156689,0.00002256479,0.0004133433,0.0006501197,0.00009244748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000142506,0.0008306926,0.07533807,0.002647995,0.0003066328,0.0001859061,0.006064919,0.8359321,0.0001823678,0.02220057,0.0006294681,0.05553881],"study_design_scores_gemma":[0.003841153,0.0003380222,0.05842986,0.00007655829,0.0002578608,0.000005861762,0.02050319,0.8921914,0.003476586,0.003572972,0.01592802,0.001378545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2246065,0.0001841388,0.7733204,0.00007245004,0.0006282349,0.0007832855,0.00003757511,0.0002932461,0.00007417816],"genre_scores_gemma":[0.9990093,0.00001300328,0.00006676147,0.00001537124,0.0001595012,0.0004675973,0.0001222366,0.00005323311,0.00009299642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7744028,"threshold_uncertainty_score":0.937531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066368298221254,"score_gpt":0.2412416403738045,"score_spread":0.2305779573915919,"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."}}