{"id":"W4386202935","doi":"10.5206/mase/16513","title":"Multiple-peak traveling waves of the Gray-Scott model","year":2023,"lang":"en","type":"article","venue":"Mathematics in Applied Sciences and Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Autocatalysis; Traveling wave; Isothermal process; Autocatalytic reaction; Diffusion; Reaction–diffusion system; Order (exchange); Gray (unit); Thermodynamics; Chemistry; Inert; Physics; Mechanics; Catalysis; Statistical physics; Mathematics; Mathematical analysis; Organic chemistry","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":[0.0009816941,0.00008653833,0.0002726804,0.000061024,0.00006543385,0.000004764426,0.0001035514,0.00007327833,0.000007990233],"category_scores_gemma":[0.0003560181,0.00004944565,0.0000405909,0.000295282,0.0002756851,0.00001394926,0.00007106534,0.0001406278,0.000003799825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005798021,"about_ca_system_score_gemma":0.00001246922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.693084e-7,"about_ca_topic_score_gemma":0.000001029933,"domain_scores_codex":[0.9992566,0.000005421337,0.0002780318,0.0001346376,0.0001072325,0.0002180725],"domain_scores_gemma":[0.9992849,0.0005138774,0.00003681067,0.0001127561,0.000006587351,0.00004512008],"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":[0.000003580814,0.00003262831,0.0003241395,0.0003547113,0.000006531365,7.492317e-7,0.0007451214,0.06492612,0.006751641,0.9266845,0.000006277775,0.0001640129],"study_design_scores_gemma":[0.0001551323,0.00001238366,0.0008200937,0.0001173514,0.000009908387,0.000005290422,0.0002529209,0.8653269,0.000764483,0.1324848,0.000002164666,0.00004847647],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415348,0.00002732165,0.04985245,0.0003915422,0.0000425523,0.0001961083,0.000001209769,0.00004256323,0.007911419],"genre_scores_gemma":[0.9830396,0.00002401993,0.01681497,0.00004244125,0.00001005259,0.00001606673,3.254581e-7,0.000005696143,0.00004686437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8004009,"threshold_uncertainty_score":0.2016335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03951820058171368,"score_gpt":0.2719123622649148,"score_spread":0.2323941616832011,"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."}}