{"id":"W4411203279","doi":"10.1109/tsg.2025.3578842","title":"RoadPowerFM: Graphormer-JEPA-Based Foundation Model for Road-Power Coupling Network","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Power Systems and Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Key Research and Development Program of China","keywords":"Foundation (evidence); Power (physics); Coupling (piping); Electrical engineering; Engineering; Computer science; Physics; Mechanical engineering; Political science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001804091,0.000241134,0.000257204,0.0002891469,0.0002935308,0.00006150209,0.000186305,0.0002053088,0.00002399591],"category_scores_gemma":[0.000004186534,0.0002518895,0.000199976,0.0004627132,0.0000458728,0.0001476847,9.680989e-7,0.0002513024,0.00002478731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001232042,"about_ca_system_score_gemma":0.00005363504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002423018,"about_ca_topic_score_gemma":0.0001268526,"domain_scores_codex":[0.9988632,0.000006844091,0.0003391798,0.0002708994,0.0001355302,0.0003843617],"domain_scores_gemma":[0.9993735,0.00008048791,0.00003644994,0.0003939318,0.00006995309,0.00004569932],"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":[0.00003536078,0.00004125171,0.00001761864,0.00005871192,0.00009208003,5.573928e-7,0.00002731642,0.9889889,0.0007196408,0.0002941078,0.005185793,0.004538671],"study_design_scores_gemma":[0.0005502265,0.0000565069,0.00005219535,0.0001165881,0.00005247327,7.765948e-7,0.00002766116,0.97571,0.008625248,0.0004160654,0.01414285,0.000249407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01330686,0.0001804624,0.9772764,0.0001280761,0.005955538,0.0005184073,0.00004677031,0.001278115,0.001309385],"genre_scores_gemma":[0.9958906,0.00004455943,0.003032573,0.00008263053,0.00006196554,0.0003675314,0.00001269634,0.00004317344,0.0004642327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9825838,"threshold_uncertainty_score":0.9999933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369227698109568,"score_gpt":0.2333586611476207,"score_spread":0.219666384166525,"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."}}