{"id":"W4415968816","doi":"10.1109/iecon58223.2025.11221803","title":"A divide and conquer partitioning method for bigraph data in industrial grade intelligent unmanned distributed systems","year":2025,"lang":"","type":"article","venue":"","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ningbo University of Technology","keywords":"Scalability; Adaptability; Locality; Hypergraph; Node (physics); Process (computing); Load balancing (electrical power); Distributed database; Task (project management)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004509263,0.0004156802,0.0006955672,0.0005807095,0.0004340431,0.001036608,0.001707896,0.0003209994,0.00001433285],"category_scores_gemma":[0.0006540488,0.0003908749,0.000112645,0.002163223,0.0002376558,0.0008863034,0.001518634,0.0004670554,0.000003066879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005923901,"about_ca_system_score_gemma":0.0002383877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005361541,"about_ca_topic_score_gemma":0.0001428412,"domain_scores_codex":[0.9954329,0.0009599342,0.001132384,0.00143037,0.0002719973,0.0007723922],"domain_scores_gemma":[0.996053,0.001891805,0.000248306,0.001456589,0.0001372015,0.0002131231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001866007,0.0004411869,0.003940348,0.0002961994,0.0003869291,0.00002462151,0.0006883099,0.002325353,0.0001325503,0.8846887,0.003236674,0.1036525],"study_design_scores_gemma":[0.002695801,0.0002013937,0.0004776006,0.0009022453,0.0001408719,0.00001324476,0.0006459586,0.8984457,0.001300487,0.07866418,0.01598584,0.0005267377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002971327,0.001744404,0.9872951,0.002631034,0.002766389,0.001604732,0.0008006436,0.0000919374,0.00009446079],"genre_scores_gemma":[0.9797904,0.000197722,0.01821081,0.0003543065,0.0002299202,0.0002337823,0.0004547553,0.00001799203,0.000510275],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9768191,"threshold_uncertainty_score":0.9998543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09618483522921924,"score_gpt":0.3458716422389118,"score_spread":0.2496868070096925,"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."}}