{"id":"W2144088547","doi":"10.1109/iscas.2006.1692565","title":"Generating Multi-Scroll Chaotic Attractors via Threshold Control","year":2006,"lang":"en","type":"article","venue":"","topic":"Chaos control and synchronization","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Jerk; Attractor; Scroll; Chaotic; Control theory (sociology); Reset (finance); Computer science; Limit cycle; Limit (mathematics); Synchronization of chaos; Topology (electrical circuits); Control (management); Mathematics; Physics; Artificial intelligence; Engineering; Mathematical analysis; Classical mechanics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007504778,0.0001467076,0.0001747983,0.00003326751,0.0001421294,0.00007150203,0.00007777814,0.00003463223,0.0009374794],"category_scores_gemma":[0.000001531739,0.0001224663,0.00009424766,0.00007624314,0.00001934217,0.0001260945,0.00001319282,0.0000858365,0.00009217425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001878856,"about_ca_system_score_gemma":0.00002099482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008262428,"about_ca_topic_score_gemma":0.00009281869,"domain_scores_codex":[0.9991842,0.00001839186,0.0002410683,0.000200407,0.0001096529,0.0002462899],"domain_scores_gemma":[0.9996449,0.0000276552,0.0000762975,0.0001485224,0.00005629241,0.0000463492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002223536,0.0006209899,0.7583347,0.00001234784,0.0001407691,0.000004272839,0.0001161796,0.06902354,0.1085305,0.03971071,0.00154582,0.02193793],"study_design_scores_gemma":[0.003467604,0.00002600881,0.02205697,0.000006521057,0.00003939652,7.118959e-7,0.00004044381,0.9693242,0.002721858,0.001131198,0.0008783781,0.0003067094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2727397,0.00006878194,0.7174003,0.0001510574,0.0001699307,0.000226525,0.00001227649,0.0000726129,0.009158846],"genre_scores_gemma":[0.9951013,1.600498e-7,0.001056137,0.0001256145,0.001017074,0.00001870582,0.00006233958,0.00001889907,0.002599777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9003007,"threshold_uncertainty_score":0.9999758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009757382847469048,"score_gpt":0.2186565920017963,"score_spread":0.2088992091543273,"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."}}