{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001208196,0.0008733024,0.0005643715,0.001616687,0.0004632728,0.001490589,0.001306781,0.0006758248,0.008576954],"category_scores_gemma":[0.005334553,0.0002392706,0.0009953836,0.002326889,0.0005030327,0.002953752,0.0005826912,0.0007161717,0.0003838167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003514932,"about_ca_system_score_gemma":0.000943675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007332931,"about_ca_topic_score_gemma":0.005789659,"domain_scores_codex":[0.9993083,0.0002663437,0.00002539997,0.00007432137,0.000176838,0.0001488201],"domain_scores_gemma":[0.997246,0.002084113,0.0001570407,0.0001223675,0.0003241963,0.00006629457],"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":[0.0002674665,0.0001718095,0.007458088,0.0002750611,0.00007904333,0.0002782214,0.00005863916,0.8739644,0.001254802,0.07198302,0.002646645,0.04156277],"study_design_scores_gemma":[0.00000916797,0.0001708537,0.003552523,0.00004363187,0.00004942927,0.0002346187,0.000225526,0.9838374,0.0007607035,0.008411202,0.002688483,0.00001642149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6577005,0.005833196,0.2428305,0.002125839,0.0003176468,0.0006133321,0.002297969,0.0001394925,0.08814154],"genre_scores_gemma":[0.9699162,0.001810722,0.01497938,0.00006432291,0.00006856614,0.0001740675,0.0005387078,0.00004898383,0.01239906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008576954,"threshold_uncertainty_score":0.02869278,"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."}}