{"id":"W4293731254","doi":"10.1109/tmtt.2022.3200040","title":"Homotopy Optimization and ANN Modeling of Millimeter-Wave SIW Cruciform Coupler","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Homotopy; Cruciform; Transmission line; Topology (electrical circuits); Electronic engineering; Mathematics; Engineering; Electrical engineering; Structural engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0003983736,0.0001939902,0.0002122122,0.0002460863,0.0001879961,0.00002006727,0.00006894043,0.00007442728,0.00007546859],"category_scores_gemma":[0.000002372452,0.0002094987,0.00006282348,0.0001502395,0.00006366961,0.00009756469,0.000004416897,0.0002793718,4.023918e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004160733,"about_ca_system_score_gemma":0.000008090471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000721354,"about_ca_topic_score_gemma":0.000001286932,"domain_scores_codex":[0.9992256,0.0000525053,0.0002584892,0.0001946781,0.00009335334,0.0001753778],"domain_scores_gemma":[0.9996244,0.00007830162,0.00002944786,0.0001843281,0.00003163459,0.00005184179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005503482,0.00004247093,6.558755e-7,0.00009276191,0.00006448744,0.000003037449,0.0004618777,0.6541252,0.3341225,0.0004125927,0.00003142359,0.01058801],"study_design_scores_gemma":[0.0001616773,0.0001544681,3.888493e-7,0.00004353246,0.00004374091,0.0000694522,0.0001763972,0.305496,0.6918563,0.001626487,0.0001435795,0.0002279793],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1426665,0.0005431427,0.855588,0.000008291581,0.0000966574,0.0001895421,0.00007599792,0.0003516055,0.0004803005],"genre_scores_gemma":[0.9813466,0.0008431268,0.0175624,0.00003070929,0.00001502171,0.00006058588,0.000007381098,0.00004917288,0.00008498053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8386801,"threshold_uncertainty_score":0.8543108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135943693213971,"score_gpt":0.2025913730993186,"score_spread":0.1912319361671789,"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."}}