{"id":"W4384786185","doi":"10.1109/tcsii.2023.3296528","title":"Chaos in Inter-State-Controlled RLC Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"RLC circuit; Inductor; Realization (probability); Capacitor; Control theory (sociology); Voltage; Chaotic; State variable; Resonance (particle physics); Variable capacitor; Network analysis; Active networking; State (computer science); Computer science; Topology (electrical circuits); Control (management); Engineering; Physics; Electrical engineering; Mathematics; Telecommunications; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002956785,0.0002361248,0.000274034,0.0003158925,0.0003109029,0.0005933359,0.0004122183,0.0005571919,0.001464522],"category_scores_gemma":[0.0009063049,0.0001257783,0.0002370126,0.0002168399,0.0009042576,0.0007464322,0.0003554293,0.0004002725,0.000156414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005431825,"about_ca_system_score_gemma":0.0002004037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281021,"about_ca_topic_score_gemma":0.0006634219,"domain_scores_codex":[0.9998147,0.00005601523,0.000006645895,0.00004366466,0.00004936863,0.00002960354],"domain_scores_gemma":[0.9997154,0.0001255369,0.00006194226,0.00002459965,0.00005329557,0.00001925861],"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":[0.00007051472,0.00002782237,0.0006942477,0.00007779466,0.0000347463,0.0005041285,0.0002566696,0.6096888,0.01876245,0.3579547,0.0007318999,0.01119644],"study_design_scores_gemma":[0.000005103797,0.00001888337,0.000101352,0.000003304001,0.000003415373,0.00004100287,0.00001382623,0.9798927,0.0007454174,0.01862054,0.0005481686,0.000006232982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3440167,0.001400968,0.612945,0.0005098212,0.0001317513,0.00005361334,0.00008531334,0.0003180075,0.04053879],"genre_scores_gemma":[0.9893411,0.0001935752,0.007438127,0.00003890614,0.00002455078,0.00002950027,0.00002031947,0.00001248582,0.002901563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001464522,"threshold_uncertainty_score":0.004899323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01613073965765016,"score_gpt":0.2331643438005222,"score_spread":0.217033604142872,"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."}}