{"id":"W3012108520","doi":"10.23977/acss.2020.040102","title":"Electric power transaction of electric vehicle based on smart contract and double auction","year":2020,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database transaction; Computer science; Electric power; Electric vehicle; Smart grid; Matching (statistics); Grid; Smart contract; Automotive engineering; Process (computing); Power (physics); Electrical engineering; Engineering; Database; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000225048,0.0001131643,0.0002393096,0.000141655,0.00006552884,0.00004585204,0.000190401,0.00008731846,0.000001163466],"category_scores_gemma":[0.000003090834,0.0001038597,0.00002603367,0.0005714248,0.00002486092,0.0002448935,0.0000180598,0.0001593366,9.954225e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001488631,"about_ca_system_score_gemma":0.00001802199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003201665,"about_ca_topic_score_gemma":0.000002680403,"domain_scores_codex":[0.9990099,0.00006219379,0.0002780196,0.0003563759,0.000132216,0.000161268],"domain_scores_gemma":[0.9994736,0.0001255734,0.0001195418,0.0001798498,0.00004688284,0.00005450775],"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":[0.0005854419,0.001016644,0.01185472,0.0009088698,0.00008770376,0.0000362098,0.00224708,0.1709583,0.05542105,0.1047231,0.0001535874,0.6520073],"study_design_scores_gemma":[0.0007480427,0.0005391003,0.001027088,0.00003665912,0.000003182665,0.000008476679,0.000005497117,0.9916591,0.004694889,0.0005037314,0.0006631858,0.0001110622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1946556,0.003986505,0.8002828,0.0005500398,0.0001129231,0.0002837847,8.709262e-7,0.00007495502,0.00005260988],"genre_scores_gemma":[0.998211,0.0002901368,0.001229763,0.0002018643,0.00002890534,0.00003193787,5.603718e-7,0.000004798023,9.945812e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8207008,"threshold_uncertainty_score":0.4235275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032943986352098,"score_gpt":0.2321559490391702,"score_spread":0.2218265091756492,"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."}}