{"id":"W2736996155","doi":"10.1109/ccnc.2017.7983201","title":"A novel pricing policy for G2V and V2G services","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Smart grid; Schedule; Dynamic pricing; Computer science; Cloud computing; Grid; Load management; Order (exchange); Distributed computing; Electrical engineering; Business; Engineering; Operating system; Microeconomics; Finance; Economics","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":[0.00004973209,0.0001962416,0.0002227199,0.00009069608,0.00008191829,0.0001621675,0.0002377928,0.0002495467,0.000008317347],"category_scores_gemma":[0.000008782378,0.0001709733,0.00005413593,0.00002649872,0.00001063501,0.00008260286,0.0001903756,0.0002624581,0.000001240739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004245081,"about_ca_system_score_gemma":0.00003476775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004845089,"about_ca_topic_score_gemma":0.00007158166,"domain_scores_codex":[0.9993753,0.000001427929,0.0001335295,0.0001998083,0.00006189287,0.0002280796],"domain_scores_gemma":[0.9995281,0.00001837536,0.00005019438,0.0003114512,0.00003362037,0.00005825182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005679492,0.00006403762,0.003053973,0.03221798,0.001600424,0.000007461371,0.004684322,0.1175798,0.100756,0.05253943,0.01130679,0.6761329],"study_design_scores_gemma":[0.00112628,0.00006813007,0.01466772,0.0005637206,0.0001112185,0.00004584043,0.00007527389,0.8962367,0.007230539,0.03591368,0.04276984,0.001191058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5242658,0.006116406,0.3686264,0.002032138,0.001772483,0.002566077,0.0003616272,0.001849632,0.09240945],"genre_scores_gemma":[0.9750668,0.0003443713,0.02269737,0.0001955833,0.0009007578,0.00004163469,0.00002973332,0.00006377608,0.0006599021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7786569,"threshold_uncertainty_score":0.6972088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009442762557517885,"score_gpt":0.2421734448074985,"score_spread":0.2327306822499806,"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."}}