{"id":"W7090940448","doi":"10.1016/j.neucom.2025.131808","title":"Bipartite synchronization for multi-level networks with antagonistic interactions","year":2025,"lang":"en","type":"article","venue":"Neurocomputing","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; National Natural Science Foundation of China","keywords":"Bipartite graph; Kronecker product; Topology (electrical circuits); Synchronization (alternating current); Signed graph; Network topology; Eigenvalues and eigenvectors; Complex network; Product (mathematics)","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":[0.0001553867,0.0001566619,0.0001580201,0.0001095615,0.0005176487,0.0002694919,0.0003814858,0.00004387072,0.000002128196],"category_scores_gemma":[0.00007797794,0.0001448185,0.00004921788,0.0008161932,0.0000394103,0.0003674175,0.0001572411,0.0001711509,0.000002818518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006791687,"about_ca_system_score_gemma":0.0000781083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000623133,"about_ca_topic_score_gemma":0.00004607552,"domain_scores_codex":[0.9987329,0.00007458038,0.0002856062,0.0004813676,0.0001028829,0.0003226238],"domain_scores_gemma":[0.9989525,0.0003516485,0.0001183947,0.0003382694,0.000189502,0.00004970043],"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":[0.00002679328,0.0001462622,0.003817271,0.00008918691,0.00002752395,0.000005486781,0.0001457756,0.7462909,0.0001802452,0.02321553,0.0005179473,0.225537],"study_design_scores_gemma":[0.0004787912,0.00006512029,0.002960095,0.00009000581,0.00001278974,0.00001001325,0.000005564833,0.9936528,0.000172003,0.0001664406,0.00225047,0.0001358838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003318817,0.00004589501,0.9942473,0.0006287823,0.000814034,0.0005015376,0.000001914755,0.0002869852,0.0001547731],"genre_scores_gemma":[0.8780922,0.000004453359,0.1208996,0.0006291238,0.0001336933,0.00003282271,0.00001405971,0.00001237513,0.0001816697],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8747734,"threshold_uncertainty_score":0.5905527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04417831545231845,"score_gpt":0.3003414362081527,"score_spread":0.2561631207558343,"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."}}