{"id":"W4405236337","doi":"10.1016/j.decarb.2024.100092","title":"Reducing the impact of dynamic wireless charging of electric vehicles on the grid through renewable power integration","year":2024,"lang":"en","type":"article","venue":"DeCarbon","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada; Ministry of Natural Resources","keywords":"Renewable energy; Grid; Wireless; Power grid; Automotive engineering; Dynamic demand; Electric vehicle; Electrical engineering; Power (physics); Computer science; Environmental science; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003486496,0.0001841038,0.0002305569,0.0001168009,0.00004070384,0.00004533801,0.0002467279,0.00007524637,0.00001204844],"category_scores_gemma":[0.00001660627,0.0001018271,0.0001676635,0.0006417583,0.00003388309,0.0001114327,0.00001094013,0.0002602437,0.000005343666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001684281,"about_ca_system_score_gemma":0.00004327108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316246,"about_ca_topic_score_gemma":0.00004024326,"domain_scores_codex":[0.9989572,0.00006997207,0.0003366123,0.0001704262,0.0002363536,0.0002294481],"domain_scores_gemma":[0.9992704,0.0002428281,0.00003762149,0.0003932073,0.00003644134,0.0000194479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002170803,0.00002440817,0.00008951469,0.0001693935,0.0002359292,0.000003412053,0.005933015,0.0429373,0.9436924,0.002194605,0.0008178109,0.003880529],"study_design_scores_gemma":[0.0001085278,0.000131498,0.001679804,0.0007828802,0.00003556094,0.000007445473,0.0003515314,0.5857354,0.4105282,0.0004054587,0.00006593505,0.0001677955],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899043,0.001907437,0.003504378,0.000108444,0.000542395,0.0002618,0.00001446834,0.0001626796,0.003594026],"genre_scores_gemma":[0.9996589,0.0001497522,0.00001017337,0.000005091611,0.00006894242,0.0000235642,0.000006659942,0.00005375622,0.00002315495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5427981,"threshold_uncertainty_score":0.4152389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00969094131498434,"score_gpt":0.2420516972676286,"score_spread":0.2323607559526442,"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."}}