{"id":"W2063775825","doi":"10.1049/ip-map:20040646","title":"Rapid frequency sweep technique for MoM planar solvers","year":2004,"lang":"en","type":"article","venue":"IEE Proceedings - Microwaves Antennas and Propagation","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Sweep frequency response analysis; Microstrip; Planar; Weighting; Filter (signal processing); Frequency band; Electrical impedance; Impedance parameters; Basis (linear algebra); Mathematics; Frequency response; Method of moments (probability theory); Algorithm; Acoustics; Computer science; Physics; Optics; Bandwidth (computing); Telecommunications; Electrical engineering; Geometry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006772713,0.0006978715,0.0005260936,0.0006162514,0.0003201139,0.0006076918,0.0008772998,0.0005684331,0.01358373],"category_scores_gemma":[0.001957127,0.0004781514,0.0005645222,0.0006701924,0.0003333442,0.0008470861,0.0009745734,0.001603069,0.004727948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002134872,"about_ca_system_score_gemma":0.0004355793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004147692,"about_ca_topic_score_gemma":0.000533437,"domain_scores_codex":[0.9994978,0.0001176495,0.0000171474,0.00003545617,0.0002987246,0.00003319602],"domain_scores_gemma":[0.9992225,0.000361602,0.00004313969,0.0001649675,0.0001864832,0.00002119383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002688561,0.00007861544,0.000615553,0.0006844714,0.0001191733,0.0004520177,0.0003570193,0.08867729,0.1395118,0.1633213,0.02687301,0.5790409],"study_design_scores_gemma":[0.0001602676,0.0001912975,0.0004339123,0.0001122978,0.00005662648,0.001266632,0.00008012176,0.6579058,0.07868295,0.03623661,0.2247935,0.00007998121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001230851,0.0001828538,0.9939204,0.00005745625,0.00005161143,0.00002954832,0.00003825281,0.001190228,0.003298757],"genre_scores_gemma":[0.03807063,0.0006735693,0.9527598,0.00009986472,0.00007009775,0.000256933,0.0002350635,0.0007340062,0.00710009],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01358373,"threshold_uncertainty_score":0.04544204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027535085402637,"score_gpt":0.2012563566166957,"score_spread":0.1909810057626693,"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."}}