{"id":"W2760357155","doi":"","title":"Automated EM-level design framework for sequential coupled resonator filters","year":2017,"lang":"en","type":"article","venue":"2017 International Applied Computational Electromagnetics Society Symposium (ACES)","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Toolbox; MATLAB; Resonator; Filter (signal processing); Planar; Filter design; Electronic engineering; Space mapping; Computer engineering; Algorithm; Real-time computing; Engineering; Programming language; Electrical engineering; Computer vision","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":[0.0005911652,0.0009578099,0.000548702,0.0004653805,0.0002723334,0.0007636194,0.001456164,0.0006286057,0.007093251],"category_scores_gemma":[0.0007426027,0.0004065332,0.0007004591,0.0002025352,0.0003107767,0.0005122164,0.0005496618,0.0006959949,0.001750642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005485289,"about_ca_system_score_gemma":0.0008514694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001466443,"about_ca_topic_score_gemma":0.001957357,"domain_scores_codex":[0.9996074,0.00006657873,0.00001912221,0.000045544,0.0002210462,0.00004042165],"domain_scores_gemma":[0.9997678,0.00006696547,0.00003167708,0.00004182455,0.00008015153,0.00001144871],"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":[0.0001685397,0.00009130518,0.0004846787,0.00035248,0.00007892067,0.0002283486,0.0001676338,0.7127082,0.08474696,0.0498266,0.00377767,0.1473686],"study_design_scores_gemma":[0.00003852093,0.00009714843,0.00007923724,0.00001470453,0.00001738325,0.00009005726,0.00001149614,0.9618334,0.01886586,0.005559573,0.01337893,0.00001378734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001798074,0.00002324848,0.9955058,0.00001543952,0.000006319559,0.00003135277,0.00003488666,0.001173733,0.001411104],"genre_scores_gemma":[0.1365561,0.00008093351,0.8591519,0.00006028594,0.00001667061,0.0002580858,0.0001986821,0.0003364808,0.003340882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007093251,"threshold_uncertainty_score":0.02372926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02497201364010508,"score_gpt":0.2674050849035757,"score_spread":0.2424330712634706,"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."}}