{"id":"W4409791167","doi":"10.61091/jcmcc127a-435","title":"Bayesian Network Governance of Electric Vehicle Charging Pile Disordered Charging Load Impacts on the Grid","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grid; Pile; Corporate governance; Electric vehicle; Bayesian network; Environmental science; Computer science; Automotive engineering; Business; Engineering; Geography; Physics; Artificial intelligence; Power (physics); Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001518303,0.0005275018,0.0007672452,0.0008998351,0.0006118544,0.001898445,0.001269826,0.001022587,0.003363476],"category_scores_gemma":[0.007121942,0.0006038449,0.0007618658,0.001202494,0.0009032535,0.002528955,0.0009847432,0.001032628,0.0003405637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002701466,"about_ca_system_score_gemma":0.001236949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03342692,"about_ca_topic_score_gemma":0.01918611,"domain_scores_codex":[0.998805,0.000476092,0.0000459677,0.0002692605,0.0002129524,0.000190625],"domain_scores_gemma":[0.9977543,0.001095384,0.0003879233,0.0001647402,0.0004855818,0.0001121623],"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":[0.00004207521,0.00001615039,0.004147674,0.00001971074,0.00003004383,0.0001406516,0.00005876253,0.9518782,0.0003204712,0.03692555,0.0009637311,0.005456882],"study_design_scores_gemma":[0.000005178079,0.000007588112,0.0008791454,0.000003757058,0.00001056338,0.00002324189,0.00002013894,0.9851458,0.00009138545,0.01339166,0.0004123736,0.000009172742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.261785,0.0005078522,0.715292,0.001304419,0.00007921072,0.0001001874,0.0008991381,0.0005248764,0.01950726],"genre_scores_gemma":[0.9863631,0.0003145915,0.009097913,0.00005658483,0.00002705339,0.00004934983,0.000327448,0.00004265946,0.003721341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03342692,"threshold_uncertainty_score":0.06646466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004189589677126094,"score_gpt":0.2023678899359664,"score_spread":0.1981783002588403,"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."}}