{"id":"W4405601145","doi":"10.1109/tmtt.2024.3512198","title":"Design of a Helical-Shaped TM<sub>01</sub>–TE<sub>01</sub> Mode Converter Based on Eigenmode Expansion Method","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Eigenmode expansion; Normal mode; Mode (computer interface); Physics; Materials science; Acoustics; Computer science; Vibration","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001162315,0.000469302,0.0004468689,0.0006923094,0.0001239614,0.00006549012,0.000222642,0.0003775146,0.00004090864],"category_scores_gemma":[0.000009099556,0.0004505207,0.0001946983,0.0004476942,0.0001336804,0.0001392344,0.000004693634,0.0009448252,0.00003344981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001479482,"about_ca_system_score_gemma":0.00006236721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007101471,"about_ca_topic_score_gemma":0.000006501805,"domain_scores_codex":[0.9979216,0.0003338532,0.0004292485,0.0005317659,0.0003038055,0.0004796541],"domain_scores_gemma":[0.9982123,0.001027909,0.00003011166,0.0005162712,0.00005294749,0.0001604498],"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":[0.0003112,0.0001043477,4.67477e-8,0.0004263327,0.0001090564,0.00002680187,0.0004521124,0.03081932,0.8752732,0.0006103233,0.00008965481,0.09177762],"study_design_scores_gemma":[0.0002222111,0.0002246528,5.439908e-7,0.0004082428,0.00006900913,0.00002249265,0.00003968542,0.2153875,0.7799078,0.003327993,0.00004392484,0.000345934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08067752,0.0003447632,0.9161505,0.00003448487,0.0001497168,0.0007307222,0.00006381897,0.001658276,0.000190197],"genre_scores_gemma":[0.9808414,0.0006873135,0.01777286,0.00009218135,0.00004096302,0.0003614849,0.00000855652,0.0001757784,0.00001943971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9001639,"threshold_uncertainty_score":0.9997947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537938304706419,"score_gpt":0.2697158327912756,"score_spread":0.2543364497442114,"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."}}