{"id":"W4323345676","doi":"10.1109/tmtt.2023.3249047","title":"Substrate-Integrated Hybrid Metallo-Dielectric Waveguide Architecture for Millimeter-Wave and Terahertz Applications","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Waveguide; Terahertz radiation; Materials science; Optoelectronics; Extremely high frequency; Dielectric; Electronic circuit; Integrated circuit; Leakage (economics); Substrate (aquarium); Electronic engineering; Optics; Electrical engineering; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004357781,0.0003526685,0.0002998527,0.000475417,0.0002096561,0.00007050422,0.0001036131,0.0001404656,0.00001514835],"category_scores_gemma":[0.000006807644,0.0003301405,0.0001247172,0.0003953938,0.0001057774,0.00007703308,0.000002160364,0.0003414403,0.000007763928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003703326,"about_ca_system_score_gemma":0.00001358597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005015725,"about_ca_topic_score_gemma":0.000009987355,"domain_scores_codex":[0.9988233,0.00005713739,0.0002995603,0.0003636739,0.00007454265,0.000381738],"domain_scores_gemma":[0.9991879,0.0003531718,0.00002947236,0.0002663258,0.0000515414,0.0001115982],"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":[0.00005789263,0.00002743379,2.810075e-7,0.0001582096,0.0001630758,0.000006389791,0.0001217222,0.0006343171,0.8175077,0.001068566,0.000389066,0.1798653],"study_design_scores_gemma":[0.0002030118,0.000128233,0.000003499673,0.00005809178,0.00009372139,0.0001109563,0.00004465517,0.002712659,0.9692134,0.01185989,0.01520339,0.0003685375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09566079,0.0005245748,0.9003787,0.00003533518,0.00008431317,0.0007217496,0.0001958275,0.001820517,0.0005782063],"genre_scores_gemma":[0.9859818,0.001081066,0.0113266,0.00006575911,0.00005193542,0.0005986309,0.00004775779,0.0001002363,0.0007461979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.890321,"threshold_uncertainty_score":0.9999151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093349286459497,"score_gpt":0.2204867748641332,"score_spread":0.2095532819995382,"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."}}