{"id":"W2094798768","doi":"10.1109/icecs.2005.4633463","title":"Synchronizing and correlation properties of spatiotemporal chaotic sequences","year":2005,"lang":"en","type":"article","venue":"","topic":"Chaos control and synchronization","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sydney Steel (Canada)","funders":"","keywords":"Synchronizing; Synchronization (alternating current); Logistic map; Correlation; Chaotic; Piecewise linear function; Computer science; Spread spectrum; Piecewise; Algorithm; Mathematics; Theoretical computer science; Topology (electrical circuits); Artificial intelligence; Mathematical analysis","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":[0.0004066083,0.0001628427,0.0001819104,0.0003999538,0.0002046247,0.0003433018,0.0002183601,0.0002720158,0.0009082257],"category_scores_gemma":[0.002334074,0.0001586326,0.0001543304,0.000274793,0.0005804421,0.0005266108,0.000307925,0.0002865589,0.0001008382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002189824,"about_ca_system_score_gemma":0.0001987326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002723321,"about_ca_topic_score_gemma":0.0001628222,"domain_scores_codex":[0.9998172,0.00005068469,0.000008913796,0.00002966443,0.00007254986,0.00002100032],"domain_scores_gemma":[0.9989663,0.0005061268,0.0002627125,0.00006001699,0.0001427009,0.00006221003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003832086,0.0001055463,0.007055441,0.0002128882,0.00008538847,0.001119616,0.0008241263,0.2041547,0.4069647,0.3525465,0.0005286557,0.02601927],"study_design_scores_gemma":[0.0000575917,0.0001810808,0.003933148,0.00001770779,0.00003058733,0.0005986028,0.0001169069,0.9191682,0.04681263,0.02779762,0.001244231,0.00004162651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9106242,0.0002500569,0.08277116,0.0001157235,0.00002326874,0.00003254413,0.00004687759,0.00006948107,0.006066828],"genre_scores_gemma":[0.9951286,0.00008253626,0.004161111,0.00001144887,0.00001110501,0.00001655283,0.00002424586,0.00001216353,0.0005521716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009082257,"threshold_uncertainty_score":0.003038347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236041595722914,"score_gpt":0.202474726160437,"score_spread":0.1901143102032079,"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."}}