{"id":"W2078321203","doi":"10.1006/jdeq.2001.4109","title":"Traveling Wave Solutions for Planar Lattice Differential Systems with Applications to Neural Networks","year":2002,"lang":"en","type":"article","venue":"Journal of Differential Equations","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Planar; Mathematics; Traveling wave; Artificial neural network; Lattice (music); Mathematical analysis; Applied mathematics; Computer science; Artificial intelligence; Acoustics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001866945,0.00018854,0.0003105362,0.0001674506,0.0006102328,0.000369404,0.0005037891,0.00008627819,0.00002957806],"category_scores_gemma":[0.00006338624,0.0001525429,0.0001555549,0.0005236173,0.00004178255,0.0005136679,0.00005958842,0.0002551718,0.000004231976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009685069,"about_ca_system_score_gemma":0.00003709551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007050564,"about_ca_topic_score_gemma":0.00003349478,"domain_scores_codex":[0.9981098,0.0001166066,0.0006749169,0.0002683963,0.0003980115,0.0004323075],"domain_scores_gemma":[0.9980611,0.000475079,0.0003895223,0.0003449047,0.0004914849,0.0002379417],"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":[0.00009641091,0.0009068309,0.0001315211,0.0000819229,0.0002594664,0.000008059782,0.001351851,0.7708666,0.001088313,0.1898102,0.001507273,0.03389157],"study_design_scores_gemma":[0.0006544464,0.0003630111,0.000399448,0.00004311517,0.0001029388,0.00004641474,0.0000484917,0.9972975,0.00001559019,0.0005670725,0.0002805348,0.0001813855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007739514,0.0001923502,0.9892235,0.001234021,0.0007670809,0.0007410426,0.00001782972,0.00004919514,0.00003543131],"genre_scores_gemma":[0.9897885,0.00001565207,0.008983548,0.00007159281,0.0009094655,0.00009694918,0.00001593122,0.00001710978,0.0001012284],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.982049,"threshold_uncertainty_score":0.6220519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05549749829848382,"score_gpt":0.2485459998503346,"score_spread":0.1930485015518507,"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."}}