{"id":"W7162016924","doi":"10.82308/7311","title":"Smart residential electric vehicle charging control via reinforcement learning","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Groundwater recharge; Economic analysis; Reinforced concrete","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005859151,0.0005325899,0.0006718602,0.0002167527,0.0002450604,0.0005479517,0.0007783634,0.00048429,0.002031632],"category_scores_gemma":[0.001450466,0.0002390756,0.0002890007,0.0002158144,0.0003870352,0.0004148509,0.000543452,0.0007546023,0.0003485878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004677389,"about_ca_system_score_gemma":0.0007042284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006788807,"about_ca_topic_score_gemma":0.00545291,"domain_scores_codex":[0.9997031,0.00007321541,0.00001531016,0.00007315385,0.00007188473,0.00006341603],"domain_scores_gemma":[0.9994624,0.000253561,0.00007215641,0.00003202388,0.0001418865,0.00003783559],"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":[0.0002386075,0.0001330211,0.001105446,0.00007761212,0.00003632941,0.00008146543,0.0000425135,0.9087634,0.002452649,0.002069958,0.001420785,0.08357821],"study_design_scores_gemma":[0.00001374576,0.00003235182,0.0001219488,0.000002539344,0.000003458843,0.000007414786,0.000002912463,0.9988241,0.0002720798,0.0005119529,0.0002046981,0.000002792021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1074254,0.00086155,0.8776103,0.000425053,0.0001829159,0.0001045683,0.00007754978,0.001935272,0.01137746],"genre_scores_gemma":[0.9884243,0.00008753203,0.00931452,0.00005502558,0.00002055473,0.00003780201,0.0000367609,0.00001462531,0.002008873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006788807,"threshold_uncertainty_score":0.0134986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002577223189054268,"score_gpt":0.1938234461908752,"score_spread":0.191246223001821,"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."}}