{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002705552,0.0004500806,0.0003760954,0.0003209025,0.0002575819,0.0005124664,0.000642488,0.0009568275,0.001346639],"category_scores_gemma":[0.0004852987,0.0002417695,0.000402839,0.0003156788,0.0005247379,0.0004836869,0.0003268976,0.0004499069,0.0001786256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004427723,"about_ca_system_score_gemma":0.0003221084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003624624,"about_ca_topic_score_gemma":0.002210082,"domain_scores_codex":[0.999908,0.00002909176,0.000004185066,0.00001971103,0.00002971436,0.000009309998],"domain_scores_gemma":[0.9998851,0.00005108349,0.00002316053,0.00000816785,0.0000269915,0.000005621245],"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":[0.00001307955,0.00001027392,0.0002034541,0.00001832119,0.000007299484,0.00005915694,0.00002426273,0.9894235,0.002608025,0.004442865,0.00008965279,0.003100065],"study_design_scores_gemma":[5.401375e-7,0.000002838322,0.00003028536,8.839398e-7,7.316233e-7,0.000003420957,0.000001844891,0.9993997,0.0001791405,0.0003043588,0.0000752956,9.979317e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1289662,0.0005330765,0.8485195,0.000281515,0.00004630497,0.00005414389,0.00008864008,0.0002334033,0.02127729],"genre_scores_gemma":[0.9293108,0.0004961902,0.05858661,0.00004308108,0.00001785623,0.0001706973,0.00008194368,0.00004405597,0.01124882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003624624,"threshold_uncertainty_score":0.007207036,"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."}}