{"id":"W4393230915","doi":"10.13052/2023.aces.j.381101","title":"Analysis of Moving Bodies with a Direct Finite Difference Time Domain Method","year":2024,"lang":"en","type":"article","venue":"The Applied Computational Electromagnetics Society Journal (ACES)","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Finite-difference time-domain method; Domain (mathematical analysis); Computer science; Computational science; Mathematics; Physics; Mathematical analysis; Optics","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":[0.0005242155,0.000224375,0.0003691039,0.0001601306,0.0002080168,0.0001327719,0.0003137472,0.00007485937,0.00002704059],"category_scores_gemma":[0.00000836854,0.0001549911,0.000220507,0.0009649527,0.00009010797,0.00005062789,0.00004226896,0.0005858344,0.000004092745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001743274,"about_ca_system_score_gemma":0.000100813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006633241,"about_ca_topic_score_gemma":0.000002133259,"domain_scores_codex":[0.9985401,0.00006347701,0.0003848864,0.0001847534,0.0004942319,0.0003325615],"domain_scores_gemma":[0.9983357,0.001225054,0.0001018507,0.0001570661,0.000105007,0.00007529012],"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":[0.00003794295,0.00001385946,0.0000636177,0.0001604768,0.002623843,0.000005398775,0.004076097,0.950511,0.01355209,0.004408363,0.0007421291,0.02380515],"study_design_scores_gemma":[0.0001548333,0.0001932284,0.006890699,0.00007152947,0.0006679723,0.00006139092,0.0001199751,0.9508653,0.001249539,0.03933031,0.0001570852,0.0002381029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6175887,0.003428392,0.3746083,0.0004431943,0.0001385726,0.0003154305,0.00002627088,0.0007116725,0.00273942],"genre_scores_gemma":[0.8068843,0.000234101,0.1925981,0.00004679625,0.0001216569,0.00001901016,0.00001040569,0.00003467345,0.00005095807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1892956,"threshold_uncertainty_score":0.6320355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007026952115041758,"score_gpt":0.2553642343200032,"score_spread":0.2483372822049615,"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."}}