{"id":"W2090555916","doi":"10.1109/tsg.2013.2293733","title":"Randomized PHEV Charging Under Distribution Grid Constraints","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Grid; Voltage drop; Schedule; Computer science; Demand response; Automotive engineering; Key (lock); Distributed generation; Voltage; Smart grid; Distributed computing; Engineering; Electrical engineering; Electricity; Renewable energy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001125252,0.00078699,0.001148687,0.0002468442,0.0003927441,0.0008536836,0.001261528,0.0007984191,0.004125529],"category_scores_gemma":[0.004546129,0.0003849673,0.0004188264,0.0005466114,0.0005729156,0.001354331,0.001053439,0.00106147,0.0003610057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008617525,"about_ca_system_score_gemma":0.0009986374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003011874,"about_ca_topic_score_gemma":0.003300048,"domain_scores_codex":[0.9989163,0.0004262092,0.00003345031,0.0002135645,0.0001653413,0.0002451864],"domain_scores_gemma":[0.9977115,0.001501848,0.000217575,0.0001883327,0.0002483302,0.0001324014],"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":[0.0001705344,0.00002784736,0.0002367111,0.00003880163,0.0000120669,0.00008804516,0.0000117523,0.9812533,0.0006140912,0.008973744,0.001366579,0.007206529],"study_design_scores_gemma":[0.00003128828,0.00002977774,0.00008144591,0.000001966497,0.000003690313,0.00001931277,0.000009954329,0.9953824,0.0001985292,0.003935321,0.0003021633,0.000004088663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08284146,0.0003877426,0.9036691,0.0007432523,0.0001477155,0.000177153,0.0003527697,0.0006930352,0.01098776],"genre_scores_gemma":[0.9759454,0.00009852745,0.02125018,0.00009726031,0.0000325427,0.00006828234,0.0001074072,0.00005106051,0.002349322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004125529,"threshold_uncertainty_score":0.01380128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0065162017412578,"score_gpt":0.1980055229299615,"score_spread":0.1914893211887037,"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."}}