{"id":"W4413994278","doi":"10.3390/s25175492","title":"Design of a Low-Cost Flat E-Band Down-Converter with Variable Conversion Gain","year":2025,"lang":"en","type":"article","venue":"Sensors","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Focus Microwaves (Canada); Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Veterans Affairs","keywords":"Variable (mathematics); Computer science; Electrical engineering; Engineering; Mathematics; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019048,0.0003701725,0.0004529846,0.0004633788,0.0002442698,0.0009530136,0.0013793,0.0004305477,0.002625154],"category_scores_gemma":[0.0002053788,0.0003269771,0.0003057375,0.0003064017,0.0001727385,0.0006238579,0.0004018783,0.0006143086,0.001921112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003674745,"about_ca_system_score_gemma":0.0002896763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002621341,"about_ca_topic_score_gemma":0.0003550407,"domain_scores_codex":[0.9997285,0.00001991667,0.00001467028,0.00007483528,0.0001241851,0.0000379114],"domain_scores_gemma":[0.9998506,0.00001880223,0.00002250682,0.00002474133,0.00006452172,0.00001884901],"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":[0.0001691785,0.0001004792,0.001074246,0.0001643031,0.00004371817,0.0002915881,0.00006488853,0.00176399,0.9248495,0.003745855,0.001049846,0.0666824],"study_design_scores_gemma":[0.0001110143,0.0008087974,0.003395923,0.00003569721,0.000102071,0.001834999,0.00006097497,0.05049002,0.9013272,0.0007808899,0.04098226,0.00007015566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2327625,0.001296362,0.7343048,0.0003617617,0.00030448,0.000449156,0.0003213793,0.002784734,0.02741489],"genre_scores_gemma":[0.7966381,0.0006080989,0.1873042,0.0003842821,0.0001050616,0.000218743,0.0003636669,0.0001650633,0.01421281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002625154,"threshold_uncertainty_score":0.008782089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005982173951364447,"score_gpt":0.1813969182981643,"score_spread":0.1754147443467998,"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."}}