{"id":"W2952152147","doi":"10.1109/tmtt.2019.2919630","title":"Ka-Band 3-D-Printed Wideband Groove Gap Waveguide Orthomode Transducer","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Wideband; Bandwidth (computing); Transducer; Groove (engineering); Impedance matching; Extremely high frequency; Waveguide; Engineering; Insertion loss; Materials science; Acoustics; Electrical engineering; Optics; Electrical impedance; Optoelectronics; Physics; Telecommunications; Mechanical engineering","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":[0.0001265386,0.0002119599,0.000230592,0.0001715626,0.00007608245,0.0002953477,0.000343467,0.0004547054,0.0008204174],"category_scores_gemma":[0.0002131971,0.0001607525,0.0002133714,0.0002015523,0.0001536362,0.0002596452,0.0001906793,0.0002093714,0.0003445399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001458864,"about_ca_system_score_gemma":0.0001443408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002106646,"about_ca_topic_score_gemma":0.0004473109,"domain_scores_codex":[0.9997906,0.00002231536,0.000009658917,0.00003370769,0.0001225523,0.00002116142],"domain_scores_gemma":[0.999818,0.00003461914,0.00005310018,0.00003415557,0.00004874931,0.00001126709],"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":[0.0000534538,0.00002931217,0.0008509419,0.00009509941,0.00001063382,0.0003627672,0.0001008099,0.005055776,0.9746222,0.002027574,0.0004350248,0.01635625],"study_design_scores_gemma":[0.00002433457,0.0007014673,0.005334035,0.00002113833,0.00003639928,0.002064411,0.0001187325,0.08781948,0.8854535,0.0004681533,0.01791301,0.00004531255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6256344,0.0005640893,0.3533222,0.0001947335,0.0002788378,0.00008524513,0.0002424931,0.001137282,0.01854071],"genre_scores_gemma":[0.9185432,0.0001763223,0.07596314,0.0000408142,0.00001485458,0.00004711357,0.00008510087,0.00003481439,0.005094519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008204174,"threshold_uncertainty_score":0.002744615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008280678603192029,"score_gpt":0.2159053766009525,"score_spread":0.2076246979977605,"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."}}