{"id":"W979056606","doi":"10.5815/ijwmt.2015.01.01","title":"Matlab-Based Computer-Aided-Design Algorithm for Designing Stepped-Impedance Resonator Low-Pass Filters in Microstrip Technology","year":2015,"lang":"en","type":"article","venue":"International Journal of Wireless and Microwave Technologies","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"HFSS; MATLAB; Microstrip; Computation; Resonator; Electronic engineering; Electrical impedance; Filter (signal processing); CAD; Computer science; Low-pass filter; Algorithm; Engineering; Electrical engineering; Engineering drawing; Telecommunications; Microstrip antenna","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":[0.000482975,0.001103164,0.0006203254,0.0005895548,0.0002949394,0.0006241981,0.001042964,0.0005405059,0.01232054],"category_scores_gemma":[0.001270817,0.0004230629,0.000392937,0.000387415,0.0002209017,0.0004227122,0.0004211967,0.000704777,0.004130266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000345565,"about_ca_system_score_gemma":0.000754612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001520618,"about_ca_topic_score_gemma":0.002366968,"domain_scores_codex":[0.9997457,0.00004529135,0.0000168862,0.00003107949,0.0001445709,0.00001643729],"domain_scores_gemma":[0.9995368,0.000217537,0.00004149142,0.00003347173,0.0001585369,0.00001216602],"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":[0.0001764507,0.0001041673,0.0009095788,0.0007765733,0.00008845377,0.0004152743,0.0002326677,0.5647992,0.05128718,0.02085366,0.01169149,0.3486652],"study_design_scores_gemma":[0.00004702276,0.00007800541,0.0001500198,0.00003173918,0.00001835088,0.0001771006,0.00002097696,0.971072,0.01074731,0.00200085,0.0156409,0.00001581281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001424078,0.00004621988,0.9937417,0.00002168986,0.00001189774,0.00004239191,0.00006153909,0.002402025,0.002248504],"genre_scores_gemma":[0.03088433,0.0001287217,0.9651021,0.00003658809,0.000006972764,0.0003215445,0.0002183657,0.0003207152,0.002980635],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01232054,"threshold_uncertainty_score":0.04121631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582287289843002,"score_gpt":0.2340741507073672,"score_spread":0.2182512778089372,"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."}}