{"id":"W2976631434","doi":"10.1088/1361-6544/ab801d","title":"Variational approach of critical sharp front speeds in degenerate diffusion model with time delay","year":2020,"lang":"en","type":"article","venue":"Nonlinearity","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Champlain Regional College","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Degeneracy (biology); Degenerate energy levels; Uniqueness; Front (military); Diffusion; Reaction–diffusion system; Wave speed; Critical speed","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001328588,0.0007930652,0.0007527206,0.001577169,0.000772681,0.001316419,0.001178024,0.001561914,0.002158856],"category_scores_gemma":[0.003793963,0.0005437388,0.001204511,0.0003474008,0.00208323,0.001802157,0.001997003,0.001608688,0.000122284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002089324,"about_ca_system_score_gemma":0.001097307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005119062,"about_ca_topic_score_gemma":0.001656867,"domain_scores_codex":[0.9997229,0.0001070003,0.00001261212,0.00004475405,0.00005767814,0.00005506039],"domain_scores_gemma":[0.9988797,0.0004809859,0.0001862053,0.00005121843,0.0002134352,0.0001884369],"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":[0.00006815086,0.00004255127,0.001508255,0.0001205165,0.00006750209,0.0004036385,0.0002611792,0.2482361,0.009527813,0.7357449,0.0008708282,0.003148619],"study_design_scores_gemma":[0.00001205898,0.00001665094,0.0002158744,0.00001283758,0.00001012863,0.00004747108,0.00003678563,0.9305484,0.0004415871,0.06822462,0.0004183414,0.00001525207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2232104,0.001320423,0.7590187,0.001895915,0.0001412906,0.0001068061,0.0001446161,0.00009967448,0.01406216],"genre_scores_gemma":[0.9525413,0.000629811,0.03624154,0.0002255074,0.0001228396,0.0001134401,0.00007543366,0.0000608417,0.009989384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005119062,"threshold_uncertainty_score":0.01515919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04549492003043975,"score_gpt":0.2942658458248248,"score_spread":0.2487709257943851,"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."}}