{"id":"W2066470351","doi":"10.1002/jnm.655","title":"Cooperative particle swarm optimization of passive microwave devices","year":2007,"lang":"en","type":"article","venue":"International Journal of Numerical Modelling Electronic Networks Devices and Fields","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Particle swarm optimization; Convergence (economics); Mathematical optimization; Computer science; Multi-swarm optimization; Filter (signal processing); Population; Grid; Algorithm; Mathematics","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":[0.0006565133,0.0005379008,0.0005970311,0.0003353223,0.0002407324,0.0005801987,0.0004309712,0.0006258815,0.0007114828],"category_scores_gemma":[0.0008958546,0.0002810364,0.0003888443,0.0002422534,0.0004768112,0.000368749,0.0003631985,0.0002854189,0.000159145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004478208,"about_ca_system_score_gemma":0.0003333395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001898067,"about_ca_topic_score_gemma":0.0009807154,"domain_scores_codex":[0.9998041,0.00007191997,0.000007141907,0.00003059074,0.00006421486,0.00002204411],"domain_scores_gemma":[0.999743,0.000126958,0.00003300703,0.00002035104,0.00006355649,0.00001305094],"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":[0.00004563419,0.00002408356,0.0002964826,0.00003188887,0.00002048576,0.00004183757,0.00003043452,0.9734284,0.00484944,0.003888401,0.0003393329,0.01700354],"study_design_scores_gemma":[0.000005885268,0.00001599772,0.00004769202,0.000001326034,0.000002695783,0.000003829018,0.00000283883,0.9985545,0.000537134,0.0005702723,0.0002566402,0.000001124672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04873953,0.0002397041,0.9463397,0.0001202625,0.00004200085,0.00003372406,0.0000100476,0.0001587132,0.004316273],"genre_scores_gemma":[0.9130828,0.0001528849,0.08257566,0.0000416622,0.00002353125,0.00009285785,0.0000279013,0.0000225451,0.003980181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001898067,"threshold_uncertainty_score":0.003773987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007843998469496202,"score_gpt":0.2253882552851789,"score_spread":0.2175442568156827,"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."}}