{"id":"W4309737137","doi":"10.3390/axioms11110654","title":"Fractional Clique Collocation Technique for Numerical Simulations of Fractional-Order Brusselator Chemical Model","year":2022,"lang":"en","type":"article","venue":"Axioms","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Mathematics; Nonlinear system; Brusselator; Applied mathematics; Fractional calculus; Linearization; Collocation (remote sensing); Orthogonal collocation; Mathematical optimization; Collocation method; Computer science; Mathematical analysis; Differential equation","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":[0.0003072263,0.0003768902,0.000429068,0.0002951996,0.0004604018,0.0003736902,0.0006226196,0.0008585664,0.001181872],"category_scores_gemma":[0.0007318115,0.0001691196,0.0003238061,0.0003098129,0.000547191,0.0003891651,0.0005297642,0.0005922771,0.0001110726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003795761,"about_ca_system_score_gemma":0.0004635845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008301822,"about_ca_topic_score_gemma":0.005253125,"domain_scores_codex":[0.9998938,0.00004371096,0.000004020508,0.00001109694,0.00003336946,0.00001391013],"domain_scores_gemma":[0.9997259,0.0001456147,0.00003451311,0.00002706573,0.00004956463,0.00001727598],"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":[0.00003088016,0.00002216427,0.0004110095,0.00003485283,0.00001214016,0.00006251119,0.00007378527,0.9803791,0.003976151,0.01029001,0.0002006189,0.004506759],"study_design_scores_gemma":[0.000001186079,0.000003176572,0.00001660197,8.572815e-7,4.49586e-7,0.000001551285,0.000002841271,0.9993995,0.0001769037,0.000302863,0.0000929474,0.000001030592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1414885,0.0002576348,0.8509389,0.0003269409,0.0000793088,0.0000587209,0.00006334009,0.0002522578,0.006534493],"genre_scores_gemma":[0.9071942,0.0001511083,0.09060938,0.00003642911,0.00001651877,0.0001052059,0.00004414106,0.00003374934,0.001809262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008301822,"threshold_uncertainty_score":0.01650703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05553299613514833,"score_gpt":0.3545088747633036,"score_spread":0.2989758786281553,"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."}}