{"id":"W1971302796","doi":"10.1109/eumc.2006.281501","title":"Statistical Space Mapping Approach for Large-Signal Nonlinear Device Modeling","year":2006,"lang":"en","type":"article","venue":"","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Statistical model; SIGNAL (programming language); Computer science; Set (abstract data type); Nonlinear system; Space mapping; Signal processing; Statistical signal processing; Data set; Artificial intelligence; Algorithm; Digital signal processing; Physics","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":[0.0006914084,0.0007530402,0.0005417459,0.0006443528,0.0003625902,0.0006922682,0.00109738,0.0005819504,0.002491156],"category_scores_gemma":[0.001634995,0.0003182928,0.0008855484,0.0006940716,0.0005662566,0.001241498,0.0006204631,0.001357554,0.0008691727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005851416,"about_ca_system_score_gemma":0.0006130975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001373315,"about_ca_topic_score_gemma":0.001043877,"domain_scores_codex":[0.9996488,0.0001278958,0.00001354995,0.00003803223,0.0001510224,0.0000207341],"domain_scores_gemma":[0.9992706,0.0004418956,0.00004921187,0.0001082988,0.0001066725,0.00002336156],"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":[0.0000239441,0.00003852068,0.0002899219,0.00007984701,0.00004721705,0.0000915867,0.0000632388,0.6776122,0.005695016,0.2634574,0.001575891,0.05102528],"study_design_scores_gemma":[0.00000119787,0.000009042808,0.00002790031,0.000001636163,0.000001831165,0.0000123732,0.000002643586,0.9736988,0.0004281782,0.02467156,0.001141204,0.000003556485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001069686,0.0000864777,0.9980167,0.0000478901,0.00001213885,0.000008440459,0.00002027934,0.0001115697,0.0006268553],"genre_scores_gemma":[0.3278547,0.001388401,0.6587417,0.0002104259,0.0002792483,0.0005781189,0.0004709408,0.0003189867,0.01015741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002491156,"threshold_uncertainty_score":0.008333743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02587440066120698,"score_gpt":0.229520645851124,"score_spread":0.2036462451899171,"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."}}