{"id":"W2618197413","doi":"10.1016/j.cnsns.2017.05.032","title":"Spike solutions in Gierer#x2013;Meinhardt model with a time dependent anomaly exponent","year":2017,"lang":"en","type":"article","venue":"Communications in Nonlinear Science and Numerical Simulation","topic":"Spectroscopy and Quantum Chemical Studies","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Mathematics; Piecewise; Exponent; Function (biology); Differential equation; Diffusion; Mathematical analysis; Variable (mathematics); Constant (computer programming); Dispersion (optics); Applied mathematics; Statistical physics; Physics; Thermodynamics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007655757,0.001198265,0.001568145,0.00175899,0.00150899,0.002965945,0.001947284,0.005888299,0.006267309],"category_scores_gemma":[0.004308751,0.0005575176,0.001216657,0.001102433,0.002936638,0.003755755,0.002399287,0.002663915,0.0007684511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655717,"about_ca_system_score_gemma":0.001389445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004064007,"about_ca_topic_score_gemma":0.001927818,"domain_scores_codex":[0.9997069,0.0000918708,0.00001523149,0.00004225402,0.00006671879,0.00007697315],"domain_scores_gemma":[0.9988367,0.0002975719,0.0002133549,0.00008362178,0.0001827398,0.0003860311],"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":[0.00012624,0.000041774,0.0003916686,0.00006093688,0.0000346032,0.0004634381,0.0001382231,0.02764932,0.00288135,0.9637218,0.002676823,0.001813864],"study_design_scores_gemma":[0.00009016319,0.00004139349,0.0004406005,0.00002185648,0.00001902539,0.0003075902,0.0001171506,0.4905051,0.0005230659,0.5069606,0.0009169711,0.00005629686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7927433,0.001689141,0.1091377,0.009698651,0.0009868722,0.0001264854,0.0006928451,0.0008345043,0.08409049],"genre_scores_gemma":[0.9534355,0.0005038173,0.01205951,0.0007906582,0.0003839496,0.0000831387,0.0002989334,0.0002527206,0.03219175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006267309,"threshold_uncertainty_score":0.02096623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04842438546963005,"score_gpt":0.3444496280963199,"score_spread":0.2960252426266898,"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."}}