{"id":"W4390450078","doi":"10.1142/s0218127423501973","title":"Infinitely Many Coexisting Attractors and Scrolls in a Fractional-Order Discrete Neuron Map","year":2023,"lang":"en","type":"article","venue":"International Journal of Bifurcation and Chaos","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Professional Engineers Ontario","funders":"National Natural Science Foundation of China","keywords":"Attractor; Realizability; Artificial neural network; Nonlinear system; Dynamical systems theory; Chaotic; Mathematics; Fractional calculus; Dynamical system (definition); Computer science; Applied mathematics; Topology (electrical circuits); Algorithm; Artificial intelligence; Mathematical analysis; Physics","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":[0.0001621681,0.0002744356,0.0003168417,0.0005575797,0.0004758514,0.0005108013,0.0003240411,0.000520303,0.0008523266],"category_scores_gemma":[0.0004773449,0.0001742734,0.0004029357,0.0002420345,0.0007851573,0.0007038806,0.0004906324,0.000282309,0.00008657557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003183426,"about_ca_system_score_gemma":0.0001933073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001031028,"about_ca_topic_score_gemma":0.0006132802,"domain_scores_codex":[0.9999278,0.000017718,0.000005166619,0.00001471576,0.00001987838,0.0000148248],"domain_scores_gemma":[0.9998877,0.00003519092,0.0000278502,0.00001541043,0.00001617371,0.00001756705],"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":[0.0003119995,0.00007721457,0.004859234,0.0002677855,0.0001345371,0.002614407,0.0008845475,0.6337613,0.1341686,0.186147,0.001073283,0.03570008],"study_design_scores_gemma":[0.000008861913,0.00003073463,0.0005075127,0.000005884274,0.0000100542,0.000198368,0.00004246082,0.9758529,0.003642728,0.01920675,0.0004782555,0.00001550948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8100792,0.0005226959,0.1813958,0.000222784,0.0000485986,0.00001964881,0.00005126714,0.0002737452,0.007386331],"genre_scores_gemma":[0.9916442,0.00008165415,0.007157286,0.00001345413,0.000005211997,0.00000897233,0.00001269033,0.00001258147,0.001063914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001031028,"threshold_uncertainty_score":0.002851307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505111171230728,"score_gpt":0.3048097577557383,"score_spread":0.279758646043431,"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."}}