{"id":"W4226248473","doi":"10.1063/5.0078791","title":"Geometry unites synchrony, chimeras, and waves in nonlinear oscillator networks","year":2022,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute of Biomedical Imaging and Bioengineering; Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; National Science Foundation; National Institutes of Health; Canada First Research Excellence Fund","keywords":"Nonlinear system; Synchronization (alternating current); Kuramoto model; Connection (principal bundle); Computer science; Complex system; Operator (biology); Topology (electrical circuits); Nonlinear dynamical systems; Statistical physics; Control theory (sociology); Mathematics; Physics; Artificial intelligence; Geometry","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":[0.0002567316,0.0001776904,0.0002715536,0.0006448025,0.0004787792,0.0009129242,0.0003485823,0.000410525,0.0008296347],"category_scores_gemma":[0.001792508,0.0001902335,0.0001897661,0.0003191132,0.002151499,0.001554256,0.001408825,0.0004445894,0.0001514629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006673825,"about_ca_system_score_gemma":0.0002680302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009952963,"about_ca_topic_score_gemma":0.0006742265,"domain_scores_codex":[0.9997835,0.00007509806,0.00001142714,0.000053066,0.0000542878,0.00002267273],"domain_scores_gemma":[0.9992751,0.0002085983,0.0002244264,0.00009426038,0.00007472114,0.0001229411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004167489,0.00001376708,0.002099649,0.00002896964,0.00001319163,0.0002649716,0.0008908955,0.02390688,0.01163343,0.9497885,0.0006086563,0.01070948],"study_design_scores_gemma":[0.00002174903,0.00004588888,0.003925685,0.00001560464,0.00001078864,0.0003951881,0.0005000251,0.1115632,0.002500499,0.8763308,0.004662834,0.00002779861],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.84138,0.0006874222,0.1258665,0.001244158,0.00006533678,0.00004042216,0.0001097683,0.0001428417,0.03046375],"genre_scores_gemma":[0.9883316,0.0002779115,0.009685622,0.00003799022,0.00003521081,0.00002889559,0.00004518227,0.00002306052,0.001534438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009952963,"threshold_uncertainty_score":0.004842162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076433625297223,"score_gpt":0.2812429975954766,"score_spread":0.2704786613425044,"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."}}