{"id":"W2460348290","doi":"10.1016/j.jmaa.2016.06.049","title":"Local phase synchronization and clustering for the delayed phase-coupled oscillators with plastic coupling","year":2016,"lang":"en","type":"article","venue":"Journal of Mathematical Analysis and Applications","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Synchronization (alternating current); Phase synchronization; Eigenvalues and eigenvectors; Mathematics; Phase (matter); Coupling (piping); Vandermonde matrix; Synchronization networks; Control theory (sociology); Matrix (chemical analysis); Rank (graph theory); Coupling strength; Mathematical analysis; Topology (electrical circuits); Physics; Quantum mechanics; Computer science; Combinatorics; Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004259617,0.0003758379,0.000556768,0.0007648158,0.0005076206,0.0006755528,0.001092488,0.0007702822,0.001449284],"category_scores_gemma":[0.002283345,0.00031928,0.0005473019,0.0004813968,0.001137382,0.0008451652,0.0009176094,0.0004726575,0.0001599104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005022057,"about_ca_system_score_gemma":0.0003959493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001499694,"about_ca_topic_score_gemma":0.001291588,"domain_scores_codex":[0.9998502,0.00003229019,0.000007520733,0.0000533817,0.00003088636,0.00002578364],"domain_scores_gemma":[0.9990344,0.0003880217,0.0002641451,0.00007285152,0.0001367859,0.0001037435],"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":[0.0004258004,0.0001278171,0.004322998,0.0002742725,0.0001890152,0.0006642037,0.0004957233,0.6110789,0.06688296,0.2960278,0.001260645,0.01824981],"study_design_scores_gemma":[0.00002299449,0.00003677832,0.001140812,0.000004866835,0.00002050337,0.0001109595,0.00005861877,0.9707409,0.001484828,0.02611584,0.0002396332,0.00002323487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6295998,0.0006225694,0.3635445,0.0004244818,0.00006467714,0.00004824326,0.0001165378,0.000111042,0.005468168],"genre_scores_gemma":[0.9913907,0.0001692559,0.006004069,0.00002741119,0.00002455184,0.00002933464,0.00004481393,0.00002029054,0.002289591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001499694,"threshold_uncertainty_score":0.004848361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01031460681320641,"score_gpt":0.2672654552394191,"score_spread":0.2569508484262127,"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."}}