{"id":"W2153289645","doi":"10.1109/mwsym.2000.863257","title":"Engraved NRD-guide for millimeter-wave integrated circuits","year":2002,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Realization (probability); Microstrip; Computer science; Electronic engineering; Transceiver; Filter (signal processing); Engraving; Dielectric; Electronic circuit; Printed circuit board; Electrical engineering; Engineering; Telecommunications; Wireless; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001042157,0.0002281302,0.0002112361,0.0001230993,0.0000426174,0.00004353219,0.0001146388,0.0001114124,0.0004980752],"category_scores_gemma":[0.00006775758,0.0002107731,0.0001133741,0.0001751581,0.00001633108,0.00006331804,0.00001122867,0.0001300589,0.0001519594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006295627,"about_ca_system_score_gemma":0.000003767422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001093732,"about_ca_topic_score_gemma":0.000007381041,"domain_scores_codex":[0.9990453,0.000007604419,0.0002842502,0.0001963843,0.00008578857,0.0003807392],"domain_scores_gemma":[0.9994735,0.00008847933,0.00001375671,0.0002546475,0.00006153145,0.0001080816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003096732,0.00006689853,0.00003593819,0.0003020053,0.0003509118,0.00002286109,0.0007281668,0.01837863,0.3266768,0.00176451,0.5364038,0.1152664],"study_design_scores_gemma":[0.0005561035,0.00005509216,0.00007050661,0.0000424181,0.00002606565,0.00002949479,0.00005884097,0.579326,0.09660318,0.0001254962,0.3226351,0.0004717239],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04061729,0.001819009,0.8711425,0.00008676728,0.001240223,0.0005341177,0.00007423855,0.002486272,0.08199956],"genre_scores_gemma":[0.975013,0.0001232949,0.01280739,0.00007735704,0.0001613708,0.00004474564,0.00003002612,0.00008722919,0.01165555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9343957,"threshold_uncertainty_score":0.8595076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03051793462907323,"score_gpt":0.2071309406498279,"score_spread":0.1766130060207546,"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."}}