{"id":"W2141475968","doi":"10.1109/mwsym.2008.4632974","title":"Substrate integrated waveguide power divider based on multimode interference imaging","year":2008,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Power dividers and directional couplers; Extremely high frequency; Amplifier; Waveguide; Antenna (radio); Interference (communication); Optics; Insertion loss; Multi-mode optical fiber; Frequency divider; Power (physics); Wilkinson power divider; Materials science; Substrate (aquarium); Optoelectronics; Computer science; Electrical engineering; Telecommunications; Physics; Engineering; Optical fiber","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":[0.0001039003,0.000305638,0.0002093375,0.0001764405,0.00006524585,0.00003790486,0.0001961249,0.00006350307,0.0004456442],"category_scores_gemma":[0.0000480407,0.000265617,0.00008686855,0.0001929793,0.00005012426,0.0001173305,0.00001807974,0.0002869625,0.0002205561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008612234,"about_ca_system_score_gemma":0.00002513323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006371815,"about_ca_topic_score_gemma":0.00001050579,"domain_scores_codex":[0.9988865,0.00001737737,0.0002951576,0.0002598814,0.0001442972,0.0003967566],"domain_scores_gemma":[0.9993649,0.00007846224,0.00001746426,0.0003521671,0.00006204152,0.0001249305],"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":[0.00003929664,0.0001174855,0.005122395,0.00007962005,0.00008550638,0.000263469,0.0006930224,0.8747018,0.08055107,0.0005218819,0.0350467,0.002777731],"study_design_scores_gemma":[0.0003442077,0.00002380878,0.003661531,0.00008731981,0.000005001854,0.00002488448,0.00003808698,0.9390381,0.05408298,0.00001646083,0.002311286,0.0003663535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3983413,0.0001710932,0.5259947,0.0001093779,0.0006543218,0.0001606779,0.00001916468,0.001957024,0.0725923],"genre_scores_gemma":[0.9935336,0.00001689248,0.0054071,0.0001999639,0.00003444899,0.00001075267,0.00001930237,0.00006765267,0.0007102616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5951923,"threshold_uncertainty_score":0.9999796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314095881213029,"score_gpt":0.2035908419392747,"score_spread":0.1904498831271444,"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."}}