{"id":"W2990061701","doi":"10.1103/physreve.100.052217","title":"Pattern formation in reaction-diffusion systems in the presence of non-Markovian diffusion","year":2019,"lang":"en","type":"article","venue":"Physical review. E","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Brusselator; Statistical physics; Instability; Markov process; Perturbation (astronomy); Pattern formation; Diffusion; Reaction–diffusion system; Computer science; Mathematics; Physics; Mathematical analysis; Quantum mechanics; Nonlinear system","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":[0.0003893273,0.0003833015,0.0006380526,0.0003610658,0.0004202877,0.0009674592,0.0008203857,0.0009473803,0.0008237333],"category_scores_gemma":[0.00156746,0.0002472553,0.000638546,0.0003242241,0.001261641,0.001354262,0.0009202732,0.0007320058,0.0001324112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006900424,"about_ca_system_score_gemma":0.000459175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002998424,"about_ca_topic_score_gemma":0.001018224,"domain_scores_codex":[0.9998261,0.00005505205,0.000009368257,0.00003850653,0.00003280534,0.00003811756],"domain_scores_gemma":[0.9992092,0.0004654932,0.0001681035,0.00005992107,0.0000479279,0.00004941181],"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":[0.0001347921,0.00008140894,0.001871194,0.0003280855,0.0001056546,0.000950522,0.000485817,0.5050027,0.06172549,0.419734,0.0003592026,0.009221122],"study_design_scores_gemma":[0.00004174976,0.00005747627,0.0003970254,0.00001090082,0.00002373692,0.0001075656,0.00004370112,0.9200419,0.005334624,0.07272029,0.00119691,0.00002408365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7556752,0.003291639,0.2240003,0.00167965,0.0001613622,0.00006986333,0.00008466638,0.000167618,0.01486972],"genre_scores_gemma":[0.9861627,0.001107412,0.0102166,0.00007023643,0.00003194147,0.00003864332,0.00002422734,0.00001235888,0.002335757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002998424,"threshold_uncertainty_score":0.005961895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030557239638458,"score_gpt":0.2797834818211926,"score_spread":0.269477909424808,"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."}}