{"id":"W2511421189","doi":"10.1109/mwsym.2016.7540088","title":"Substrate integrated waveguide mode coupler for tracking applications","year":2016,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Bandwidth (computing); Waveguide; Visualization; Hybrid coupler; Computer science; Mode (computer interface); Physics; Electronic engineering; Power dividers and directional couplers; Optoelectronics; Engineering; Telecommunications; Operating system; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002765318,0.0005982002,0.0003727976,0.0002537878,0.0002164782,0.0004840416,0.0006867929,0.0005688846,0.002414893],"category_scores_gemma":[0.0003022455,0.0002711084,0.0003373099,0.0004393412,0.0001268252,0.0005131258,0.0002333306,0.000399427,0.001848922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000285235,"about_ca_system_score_gemma":0.0002786256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002354627,"about_ca_topic_score_gemma":0.0005399359,"domain_scores_codex":[0.9997101,0.00003205208,0.00001507913,0.00007522847,0.0001417104,0.00002576123],"domain_scores_gemma":[0.9997537,0.00003216791,0.00005910557,0.00004954069,0.00008891347,0.0000166488],"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":[0.00008454864,0.00003883968,0.0005938444,0.0001854426,0.00001986868,0.0002058483,0.00005155953,0.0008078897,0.9649988,0.002219391,0.001694293,0.02909963],"study_design_scores_gemma":[0.00003311902,0.0008802049,0.003533791,0.00002262376,0.00006322966,0.001677238,0.00004725383,0.01716365,0.9288355,0.000271573,0.04744094,0.00003079939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4340128,0.004457273,0.4986053,0.0005495985,0.0007536425,0.0003761823,0.0009705011,0.00802114,0.05225368],"genre_scores_gemma":[0.7267009,0.001647425,0.2400637,0.0002909524,0.0001388957,0.0002353525,0.0007633606,0.0002857161,0.02987371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002414893,"threshold_uncertainty_score":0.008078575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612236948420382,"score_gpt":0.2363890952193396,"score_spread":0.2202667257351358,"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."}}