{"id":"W4409234114","doi":"10.3390/fractalfract9040230","title":"The LDG Finite-Element Method for Multi-Order FDEs: Applications to Circuit Equations","year":2025,"lang":"en","type":"article","venue":"Fractal and Fractional","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Finite element method; Order (exchange); Element (criminal law); Mathematics; Applied mathematics; Computer science; Mathematical analysis; Engineering; Structural engineering; Political science; Law; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006589502,0.0004623571,0.0005525313,0.0006100836,0.0003105528,0.000516029,0.0007594086,0.001143836,0.001595277],"category_scores_gemma":[0.001283034,0.0002148371,0.0005543644,0.0005255355,0.0007517676,0.0005683375,0.0006811857,0.0009343766,0.0003790559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004529993,"about_ca_system_score_gemma":0.0005878096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001509209,"about_ca_topic_score_gemma":0.001373899,"domain_scores_codex":[0.999826,0.00006608431,0.000009268239,0.00001660864,0.00006899683,0.00001299507],"domain_scores_gemma":[0.9995659,0.0002674145,0.00003820683,0.00004717005,0.0000619483,0.00001933814],"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":[0.00004953783,0.00005615176,0.001001491,0.000333273,0.00002970288,0.0001838936,0.0002226745,0.836217,0.01580603,0.06844718,0.001029269,0.07662375],"study_design_scores_gemma":[0.000004553285,0.000008895067,0.00004477508,0.00001426236,0.000002066819,0.00002987292,0.00001059925,0.992007,0.001092381,0.004090475,0.002691139,0.000004069904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008273528,0.0005602107,0.9881171,0.0001799729,0.00004987582,0.00002882234,0.0000379292,0.0001635816,0.002589058],"genre_scores_gemma":[0.3343009,0.001031801,0.6597245,0.000191815,0.00005533039,0.0002211489,0.0001200279,0.0001457938,0.004208732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001595277,"threshold_uncertainty_score":0.005336761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04098456059737175,"score_gpt":0.3572513278158205,"score_spread":0.3162667672184487,"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."}}