{"id":"W2166616906","doi":"10.1109/ccece.2007.167","title":"Advanced Neural-Based CAD Tools for Communication System Modeling and Design","year":2007,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Ottawa","funders":"","keywords":"CAD; Computer science; Miniaturization; Electronic design automation; Computer architecture; Process (computing); Circuit design; Artificial neural network; Electronic engineering; Systems engineering; Embedded system; Engineering; Artificial intelligence; Electrical engineering; Engineering drawing","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":[0.0004445738,0.000695097,0.0003833852,0.000437501,0.0002164574,0.0006496784,0.001130262,0.0008066123,0.005961368],"category_scores_gemma":[0.001705658,0.0004244195,0.0003857659,0.000426295,0.0002965113,0.0007374022,0.000451127,0.001266997,0.001493297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000414789,"about_ca_system_score_gemma":0.0005989613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0023311,"about_ca_topic_score_gemma":0.004193788,"domain_scores_codex":[0.9997751,0.00004210039,0.00001357834,0.00001356141,0.0001458303,0.000009767748],"domain_scores_gemma":[0.9995821,0.000231778,0.00002789362,0.00005197973,0.00009697764,0.00000929779],"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":[0.0000539924,0.00004879906,0.0004004219,0.0003084113,0.00004882783,0.000151086,0.0001054507,0.6721112,0.01600974,0.06739475,0.006315093,0.2370523],"study_design_scores_gemma":[0.000008709231,0.00001146383,0.0000589781,0.00001670995,0.000005284547,0.00002867376,0.000005741253,0.982343,0.003075523,0.006278908,0.008159511,0.000007558186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002297472,0.0002303665,0.9916943,0.00009161827,0.00003399132,0.0000273235,0.000104139,0.001066106,0.004454666],"genre_scores_gemma":[0.1110628,0.0009429783,0.8806655,0.0001225063,0.00003442607,0.0003381094,0.0003506595,0.0002237496,0.006259207],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005961368,"threshold_uncertainty_score":0.01994276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03222370039745245,"score_gpt":0.237433124429258,"score_spread":0.2052094240318056,"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."}}