{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002770611,0.0002332865,0.00036829,0.00008552992,0.0001806922,0.00004733737,0.00011217,0.0001369105,0.0003873485],"category_scores_gemma":[0.00000719268,0.0002120833,0.000208254,0.0002271543,0.0001181482,0.0001387679,5.359828e-7,0.0004157329,0.0001187815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001048926,"about_ca_system_score_gemma":0.00001643127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001647788,"about_ca_topic_score_gemma":0.000009366094,"domain_scores_codex":[0.9988568,0.00008237203,0.0003065056,0.0002112359,0.0001917036,0.0003513339],"domain_scores_gemma":[0.9994063,0.0001774619,0.00003702238,0.000222515,0.00004119705,0.0001154534],"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":[0.00392898,0.0001734353,0.00002336585,0.0001753203,0.0007507868,0.000007621405,0.000349398,0.7736171,0.01350937,0.00329317,0.01541291,0.1887586],"study_design_scores_gemma":[0.1351878,0.0002201418,0.0005614014,0.0002090595,0.0004607298,0.0001672498,0.0001164014,0.5773239,0.2414559,0.002357669,0.04022238,0.001717397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03948117,0.00004597125,0.9544824,0.0002020539,0.002994731,0.0002721165,0.0001337685,0.0004550818,0.001932699],"genre_scores_gemma":[0.9988567,0.00009736542,0.000238175,0.0001653991,0.00041251,0.00004850005,0.00004731025,0.00003655456,0.00009753261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9593755,"threshold_uncertainty_score":0.8648507,"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."}}