{"id":"W3091172139","doi":"10.1119/10.0003207","title":"Space-time computation and visualization of the electromagnetic fields and potentials generated by moving point charges","year":2021,"lang":"en","type":"article","venue":"American Journal of Physics","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Physics; Computation; Point particle; Grid; Scalar (mathematics); Electromagnetics; Computational electromagnetics; Computer science; Computational science; Computational physics; Electromagnetic radiation; Point (geometry); Python (programming language); Electromagnetic field; Classical mechanics; Algorithm; Optics; Mathematics; Quantum mechanics; Geometry","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":[0.00005131862,0.00005849964,0.0001455123,0.00001449857,0.00002778159,0.00002205948,0.00003093639,0.00001222225,0.000004206493],"category_scores_gemma":[0.00001011636,0.00004831664,0.00002559326,0.0001794597,0.00004808532,0.00008548767,0.000009942546,0.00006225635,1.906609e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001160562,"about_ca_system_score_gemma":0.00001833231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006583252,"about_ca_topic_score_gemma":9.225433e-7,"domain_scores_codex":[0.999584,0.00004328226,0.0001529794,0.00004656109,0.00008598617,0.00008715992],"domain_scores_gemma":[0.9997045,0.00002436108,0.000118438,0.00004021792,0.00007898346,0.00003353596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000447422,0.00001604325,0.0007026237,0.000009708018,0.00004520227,0.000001137461,0.0001599095,0.005597167,0.9782963,0.0001092578,0.0003747269,0.01468341],"study_design_scores_gemma":[0.0002692163,0.0002688685,0.003382494,0.00002453894,0.00005150941,0.00002583717,0.00009512949,0.120598,0.874791,0.0003715231,0.00003292113,0.00008904041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716423,0.0007923456,0.02736481,0.0001220995,0.00002948131,0.00002252736,0.000001767061,0.00000643504,0.00001824613],"genre_scores_gemma":[0.9991838,0.00028106,0.0004379551,0.00003857474,0.00004209057,3.067814e-7,0.000001378787,0.000009269086,0.000005618966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1150008,"threshold_uncertainty_score":0.1970295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003555433436132444,"score_gpt":0.2020991358133771,"score_spread":0.1985437023772447,"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."}}