{"id":"W2806163503","doi":"10.1016/j.jde.2018.06.008","title":"Traveling waves for time-delayed reaction diffusion equations with degenerate diffusion","year":2018,"lang":"en","type":"article","venue":"Journal of Differential Equations","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Champlain Regional College; McGill University","funders":"Fundamental Research Funds for the Central Universities; Fonds de recherche du Québec – Nature et technologies; China Postdoctoral Science Foundation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Degenerate energy levels; Mathematics; Infimum and supremum; Degeneracy (biology); Monotone polygon; Diffusion; Mathematical analysis; Reaction–diffusion system; Upper and lower bounds; Physics; Quantum mechanics; Geometry","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":[0.00540314,0.00203768,0.002595309,0.003252654,0.001417318,0.00473019,0.003580124,0.005631095,0.004883392],"category_scores_gemma":[0.02613996,0.00157948,0.003424661,0.001645514,0.005292071,0.006870774,0.004078818,0.004192261,0.0005445544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00253821,"about_ca_system_score_gemma":0.002813377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008070683,"about_ca_topic_score_gemma":0.002529425,"domain_scores_codex":[0.998209,0.0007376886,0.0001636548,0.0002931546,0.0002811371,0.0003153407],"domain_scores_gemma":[0.9865449,0.008344311,0.002045569,0.0004703329,0.001540122,0.001054722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001466448,0.00009049157,0.001941793,0.0002728775,0.0001827582,0.0007675658,0.0005206909,0.08585863,0.004044101,0.8992602,0.001872351,0.005041963],"study_design_scores_gemma":[0.00008237155,0.00005421516,0.000531171,0.00005053615,0.00009038121,0.0003877956,0.0001736424,0.7149704,0.0003387216,0.2823619,0.0008909169,0.00006805262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1536071,0.004095898,0.8165499,0.006663062,0.0006320091,0.0002379185,0.0004853808,0.0002531026,0.0174757],"genre_scores_gemma":[0.891076,0.004054355,0.05469275,0.001097972,0.0005847918,0.0004515623,0.0005746262,0.0002016203,0.04726641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008070683,"threshold_uncertainty_score":0.02857488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0346182863401966,"score_gpt":0.3040559017890965,"score_spread":0.2694376154488999,"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."}}