{"id":"W2146019776","doi":"10.1016/j.jmaa.2014.05.064","title":"Separation dichotomy and wavefronts for a nonlinear convolution equation","year":2014,"lang":"en","type":"article","venue":"Journal of Mathematical Analysis and Applications","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Departamento de Investigaciones Científicas y Tecnológicas, Universidad de Santiago de Chile; Comisión Nacional de Investigación Científica y Tecnológica; Fondo Nacional de Desarrollo Científico y Tecnológico; Mountain Equipment Co-operative","keywords":"Mathematics; Separation (statistics); Convolution (computer science); Nonlinear system; Wavefront; Mathematical analysis; Pure mathematics; Statistics; Artificial intelligence; Physics; Optics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003912117,0.00006679229,0.0002489858,0.0001069813,0.0000795723,0.00004237536,0.00004156429,0.00004291943,0.00001863475],"category_scores_gemma":[0.0001156535,0.0000551166,0.0001066995,0.0001665154,0.00004148144,0.00009348653,0.000005845532,0.00005308177,0.000001858919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001564438,"about_ca_system_score_gemma":0.000006817036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.482706e-7,"about_ca_topic_score_gemma":0.00001018567,"domain_scores_codex":[0.9993436,0.00002147347,0.0003815454,0.00007596062,0.0001081052,0.00006927174],"domain_scores_gemma":[0.9992546,0.0003480169,0.00009770914,0.00009184166,0.000138499,0.00006925958],"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":[0.0001368103,0.001295731,0.005061473,0.001556823,0.004504398,1.793042e-7,0.002049159,0.02842549,0.01840451,0.5977098,0.0002619954,0.3405937],"study_design_scores_gemma":[0.0003475789,0.00004393215,0.002907308,0.000008465245,0.000879748,0.000001537002,0.00005387689,0.888549,0.0001425577,0.105954,0.001047459,0.00006451846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1192869,0.00007963324,0.8800096,0.0002810317,0.000007943012,0.0001949953,0.000009363801,0.00001257587,0.0001179386],"genre_scores_gemma":[0.9814984,0.00003039346,0.01827414,0.00001461278,0.00009187135,0.00005846134,0.00001305972,0.000004626672,0.00001446581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8622114,"threshold_uncertainty_score":0.224759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256565500103319,"score_gpt":0.2588411748477022,"score_spread":0.2462755198466691,"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."}}