{"id":"W2042750652","doi":"10.1109/tmtt.2012.2201742","title":"Novel Modeling and Calibration Approach for Multiport Receivers Mitigating System Imperfections and Hardware Impairments","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Wideband; Electronic engineering; Computer science; Linearization; Bandwidth (computing); Wireless; Detector; Code division multiple access; Engineering; Telecommunications; Nonlinear system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003628026,0.0001815868,0.0001565932,0.0001137398,0.0002694588,0.00003446094,0.00003251512,0.0001138309,0.000001301159],"category_scores_gemma":[0.000003174879,0.0001875172,0.000037529,0.00006479932,0.00005574702,0.0003922915,0.000001362022,0.0001627228,1.537439e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005946194,"about_ca_system_score_gemma":0.000005194955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006170628,"about_ca_topic_score_gemma":0.00000115375,"domain_scores_codex":[0.9993316,0.00003840073,0.0001788584,0.0001898504,0.00004730027,0.0002139719],"domain_scores_gemma":[0.9996399,0.0001027183,0.00002696695,0.0001107629,0.0000257926,0.00009390905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009676731,0.00007229635,0.00002449846,0.0004846852,0.0001027319,5.036437e-7,0.001678953,0.0126809,0.9639676,0.001127647,0.00001424469,0.01974914],"study_design_scores_gemma":[0.0004506285,0.00009622888,0.000003196645,0.0001482643,0.0001143515,0.0002515847,0.001742568,0.1402984,0.8559612,0.0005266595,0.00004028671,0.0003665843],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07984261,0.0001838546,0.9184282,0.000002417824,0.00009083368,0.000631807,0.00006971948,0.0005630874,0.0001874441],"genre_scores_gemma":[0.8741745,0.0000882921,0.1253893,0.00001280007,0.00003047056,0.000231654,0.000007284904,0.00003969443,0.00002591725],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7943319,"threshold_uncertainty_score":0.7646728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583322163363108,"score_gpt":0.2335174046213733,"score_spread":0.2176841829877422,"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."}}