{"id":"W4406856639","doi":"10.1109/tii.2024.3514208","title":"A Fair and Efficient Transactive Energy Trading Framework Hosting Distributed Ledger Technology","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Université Laval","funders":"","keywords":"Distributed ledger; Computer science; Transactive memory; Computer network; Distributed computing; Business; Blockchain; Computer security; Embedded system; Knowledge management","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":[0.0002284591,0.0002280431,0.0002878703,0.0007250487,0.0005857937,0.0001172477,0.0006096475,0.0007646573,0.00000698114],"category_scores_gemma":[0.0000330752,0.0002269867,0.00007787339,0.002236461,0.0002355111,0.000193703,0.000009860415,0.001038117,0.00000426863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001206587,"about_ca_system_score_gemma":0.0001326117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001635343,"about_ca_topic_score_gemma":0.000004579685,"domain_scores_codex":[0.9986402,0.00003460065,0.0005627802,0.0002493795,0.0001619485,0.0003510739],"domain_scores_gemma":[0.9987817,0.000338993,0.0001460686,0.0005649183,0.00009223125,0.00007609946],"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":[0.00004834871,0.0004379877,0.00002754771,0.00003687458,0.000212954,0.000003656187,0.002302483,0.01250516,0.0001305816,0.3984636,0.0003727072,0.5854581],"study_design_scores_gemma":[0.001815901,0.0002520563,0.0000124533,0.0003143646,0.00009777105,0.0000384966,0.001766941,0.878125,0.07777695,0.03352457,0.005695638,0.0005798922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0237985,0.00003254718,0.9720817,0.002296672,0.0005083661,0.0002813094,0.00003843556,0.000573864,0.000388636],"genre_scores_gemma":[0.9840286,0.00002152904,0.01554444,0.0002145562,0.00001724808,0.0001355597,0.000002019486,0.000006950318,0.00002905718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9602301,"threshold_uncertainty_score":0.9256248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509403145080319,"score_gpt":0.2409573583314758,"score_spread":0.2258633268806726,"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."}}