{"id":"W2161764869","doi":"10.1109/mwsym.1992.188125","title":"Characterizing microwave planar circuits by coupled finite-boundary element method","year":2003,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Finite element method; Planar; Lossy compression; Boundary element method; Microwave; Boundary (topology); Dielectric; Electronic circuit; Boundary knot method; Topology (electrical circuits); Computer science; Coupling (piping); Boundary value problem; Electronic engineering; Ferrite (magnet); Mathematical analysis; Mechanical engineering; Electrical engineering; Engineering; Mathematics; Structural engineering; Telecommunications","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":[0.000469729,0.0005905809,0.0006481193,0.0006365424,0.0002686152,0.0008394459,0.001119425,0.001245847,0.003032142],"category_scores_gemma":[0.001355145,0.0004104845,0.0005899896,0.0004444461,0.0005909089,0.0009520692,0.0007675381,0.0007087499,0.0009716104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004382985,"about_ca_system_score_gemma":0.0003530853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009265101,"about_ca_topic_score_gemma":0.0007390058,"domain_scores_codex":[0.9996455,0.0001113041,0.00001217023,0.00004078039,0.0001669751,0.00002338393],"domain_scores_gemma":[0.9996413,0.0002121905,0.00002632939,0.00004644305,0.00006470308,0.000008981767],"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":[0.00003367461,0.00004119526,0.0003238946,0.0001463755,0.00002735294,0.00008273742,0.0002125119,0.8487229,0.04787932,0.05754944,0.000956771,0.04402384],"study_design_scores_gemma":[0.000003326888,0.000008232195,0.00003650979,0.000007837197,0.000002759303,0.00002167703,0.00001032049,0.9892764,0.002904173,0.005058042,0.002665459,0.000005291799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002534799,0.0000509736,0.9951332,0.00002167364,0.000007558226,0.00002350825,0.00002214001,0.0001742588,0.002031827],"genre_scores_gemma":[0.2326832,0.0003315439,0.7583753,0.0001031,0.00002703044,0.0004392298,0.0002404668,0.0002669054,0.007533387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003032142,"threshold_uncertainty_score":0.01014352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472779090539664,"score_gpt":0.228838183165779,"score_spread":0.2141103922603824,"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."}}