{"id":"W4405919276","doi":"10.1007/978-3-031-73892-0","title":"Applications of Advanced Electromagnetics","year":2024,"lang":"en","type":"book","venue":"Lecture notes in electrical engineering","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"European Research Consortium for Informatics and Mathematics; Norges Teknisk-Naturvitenskapelige Universitet; McMaster University; Ankara Universitesi","keywords":"Electromagnetics; Computer science; Engineering; Engineering physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007445842,0.0003995559,0.0006029817,0.0005367568,0.00002071366,0.00002853874,0.0002943987,0.000219652,0.0001628161],"category_scores_gemma":[0.00002297712,0.0004066778,0.0002720288,0.0008899049,0.00002596465,0.00002141286,0.00004614131,0.001131012,0.0000269641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451516,"about_ca_system_score_gemma":0.0001818124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001912295,"about_ca_topic_score_gemma":0.000003044359,"domain_scores_codex":[0.998325,0.00001170304,0.0004751984,0.0004627678,0.0002370593,0.0004882038],"domain_scores_gemma":[0.9991025,0.0003116858,0.0001042306,0.0003584747,0.00004888075,0.0000742765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001977632,0.0001928305,0.0001330936,0.0006766464,0.0006676256,0.00001591109,0.0001492449,0.09744132,0.04215463,0.03161328,0.0008638442,0.8260718],"study_design_scores_gemma":[0.001934954,0.00205279,0.0001504605,0.002295914,0.002344873,0.00003358806,0.000004771692,0.2537689,0.07343896,0.4091399,0.2495564,0.005278471],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00145871,0.02064995,0.9044058,0.0002637332,0.0002227066,0.0009693537,0.00007450262,0.0003378033,0.07161748],"genre_scores_gemma":[0.9236001,0.0001992639,0.0128979,0.00006701222,0.001966655,0.0004902576,0.0004448587,0.0003974945,0.05993645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9221414,"threshold_uncertainty_score":0.9998385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001961715104242031,"score_gpt":0.2002460719736114,"score_spread":0.1982843568693693,"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."}}