{"id":"W2899293922","doi":"10.1109/compem.2018.8496620","title":"Newmark Algorithm in FDTD Analysis of Multi-Ion Magnetized Plasma","year":2018,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Finite-difference time-domain method; Physics; Plasma; Computational physics; Mathematical analysis; Scattering; Optics; Mathematics; Quantum mechanics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001606829,0.00008625688,0.0002467131,0.0003321097,0.00001011495,0.000005605602,0.00007251411,0.00005976267,0.001643145],"category_scores_gemma":[0.00004799989,0.00007939753,0.00007034838,0.001395442,0.00003222652,0.00003063795,0.00001132385,0.00006185436,0.00001981003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002034675,"about_ca_system_score_gemma":0.000004222522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008026725,"about_ca_topic_score_gemma":0.000102481,"domain_scores_codex":[0.9993294,0.00005173605,0.0002542063,0.0001139541,0.0000947985,0.00015584],"domain_scores_gemma":[0.999617,0.0001337908,0.00002012949,0.0001446761,0.00003671146,0.00004764191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003318516,0.0001078129,0.004794194,0.00001797586,0.0003201114,0.000002373353,0.0003349842,0.02034269,0.06569313,0.0001394002,0.0002858615,0.9079283],"study_design_scores_gemma":[0.0005537044,0.00009484476,0.0432773,0.000002894281,0.00007017503,2.431818e-7,0.00001329817,0.9420168,0.01313569,0.00002717375,0.0007182855,0.0000895814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5785682,0.0001193265,0.4083148,0.00003513215,0.0001827769,0.0001250081,0.000003287356,0.0001699051,0.01248158],"genre_scores_gemma":[0.6411237,0.00002468267,0.358058,0.00003444681,0.00003073283,0.000004835932,0.000005086535,0.00001216675,0.0007063201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9216741,"threshold_uncertainty_score":0.9992695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487380967071717,"score_gpt":0.2851613598255734,"score_spread":0.2702875501548562,"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."}}