{"id":"W3192430626","doi":"10.1088/1402-4896/ac1ccf","title":"A robust numerical approximation of advection diffusion equations with nonsingular kernel derivative","year":2021,"lang":"en","type":"article","venue":"Physica Scripta","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; St. Francis Xavier University","funders":"","keywords":"Invertible matrix; Advection; Kernel (algebra); Applied mathematics; Diffusion; Derivative (finance); Mathematics; Mathematical analysis; Physics; Pure mathematics; Thermodynamics; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007863439,0.00016428,0.0002602904,0.0001004594,0.0002384481,0.00003295088,0.00008842906,0.00005640905,0.00009947159],"category_scores_gemma":[0.0006897754,0.0001482155,0.0001101196,0.0007494714,0.0000899839,0.0003191803,0.00005747746,0.0001665876,0.00002487495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001209842,"about_ca_system_score_gemma":0.000158511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006662477,"about_ca_topic_score_gemma":0.00004047918,"domain_scores_codex":[0.998642,0.0001310563,0.0003206724,0.0002850886,0.000445739,0.0001754746],"domain_scores_gemma":[0.998529,0.0001845692,0.0002594517,0.0003685646,0.0005994669,0.00005894639],"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":[0.00008767513,0.003572099,0.0002928527,0.0001502836,0.0003200491,0.00000497503,0.002178371,0.00210635,0.1445741,0.841279,0.003809492,0.001624687],"study_design_scores_gemma":[0.002384034,0.0003658993,0.01853708,0.0005213318,0.001120686,0.00004146613,0.002547993,0.633629,0.05210626,0.2868961,0.0009337043,0.0009164893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09076113,0.00002252094,0.9064642,0.00062963,0.0001854957,0.0002579933,0.00002455517,0.0000933358,0.001561199],"genre_scores_gemma":[0.9376974,0.000003865576,0.06127277,0.00003006852,0.00009824089,0.00006451637,0.0001296007,0.0000291211,0.000674465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8469362,"threshold_uncertainty_score":0.6044052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0769100683819793,"score_gpt":0.2912626126104812,"score_spread":0.2143525442285019,"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."}}