{"id":"W2009851378","doi":"10.5539/jmr.v3n1p131","title":"Anti-periodic Solutions of Impulsive Cohen-Grossberg SICNNs on Time Scales","year":2011,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Coincidence; Exponential stability; Degree (music); Applied mathematics; Stability (learning theory); Lyapunov function; Scale (ratio); Control theory (sociology); Mathematical analysis; Artificial intelligence; Computer science; Control (management); Nonlinear system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002598137,0.00009258249,0.0003016171,0.0003042015,0.0002089685,0.00007624889,0.0009389186,0.0000681396,0.0001146654],"category_scores_gemma":[0.0004507319,0.00007023275,0.0001208147,0.0005595349,0.0002711673,0.0003610516,0.0002401397,0.0004215,0.00007102782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000748255,"about_ca_system_score_gemma":0.0001667143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006216794,"about_ca_topic_score_gemma":0.000004291693,"domain_scores_codex":[0.9977,0.0002554223,0.0005903367,0.0001345646,0.0009860257,0.0003336392],"domain_scores_gemma":[0.997595,0.0005956115,0.0003252734,0.0004253685,0.0009342029,0.0001245791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002911083,0.01667543,0.003262136,0.002032001,0.0007360243,0.0005709184,0.08931521,0.006071709,0.1221304,0.6746566,0.03559049,0.04866799],"study_design_scores_gemma":[0.002423131,0.006722326,0.01196165,0.001877285,0.00006189199,0.0008200121,0.001961744,0.5216066,0.05770021,0.3933972,0.0006726478,0.0007953133],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7770131,0.0002786252,0.2161185,0.0009487316,0.0002584491,0.0003430812,0.000007376466,0.00002747697,0.005004707],"genre_scores_gemma":[0.9767837,0.0000635012,0.02292202,0.00001449852,0.0000741531,0.000001782025,4.099012e-7,0.000008814672,0.0001311324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5155349,"threshold_uncertainty_score":0.2864008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.138862444952845,"score_gpt":0.3416772076529659,"score_spread":0.2028147627001209,"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."}}