{"id":"W1995922259","doi":"10.1063/1.3335408","title":"Breakdown of invariant attractors for the dissipative standard map","year":2010,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Quantum chaos and dynamical systems","field":"Physics and Astronomy","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Dissipative system; Attractor; Standard map; Invariant (physics); Computation; Sobolev space; Mathematics; Mathematical analysis; Applied mathematics; Stability (learning theory); Physics; Computer science; Algorithm; Mathematical physics; Quantum 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006701202,0.0003763693,0.0004419947,0.001576939,0.0004637873,0.001201232,0.0005402876,0.0005306089,0.002163049],"category_scores_gemma":[0.002569533,0.0001878517,0.0005139915,0.0003717299,0.001001219,0.0008646552,0.001027109,0.000569934,0.0001897342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008014563,"about_ca_system_score_gemma":0.0004051719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008282015,"about_ca_topic_score_gemma":0.0005141905,"domain_scores_codex":[0.9998486,0.00002315893,0.00001440933,0.00001945818,0.00006133181,0.00003294802],"domain_scores_gemma":[0.9990554,0.0003544007,0.0001753381,0.0001390364,0.0001428106,0.0001330623],"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":[0.0004199014,0.0002622415,0.01096071,0.0002519431,0.00008714115,0.0006901296,0.0008282737,0.5011494,0.08584151,0.3677578,0.0007818787,0.03096909],"study_design_scores_gemma":[0.00001056132,0.00004247276,0.0006173141,0.000007716275,0.000006496379,0.00008183903,0.00004651158,0.9645103,0.01051063,0.0238897,0.0002622195,0.00001437044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8132405,0.0001252475,0.1810805,0.0001030852,0.00002622818,0.00003586945,0.0000602327,0.0002898379,0.005038326],"genre_scores_gemma":[0.9818256,0.00005410047,0.01720868,0.00001179756,0.000004681744,0.00002713916,0.0000570733,0.00004352505,0.0007672838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002163049,"threshold_uncertainty_score":0.007236123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521425617814793,"score_gpt":0.3375205035267961,"score_spread":0.3223062473486482,"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."}}