{"id":"W1579815562","doi":"10.1109/arftgf.2003.1459774","title":"Load pull characterization system for differential devices","year":2005,"lang":"en","type":"article","venue":"","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Focus Microwaves (Canada)","funders":"","keywords":"Differential (mechanical device); Push pull; Load pull; Calibration; Computer science; Characterization (materials science); Push and pull; Electronic engineering; Control theory (sociology); Electrical engineering; Engineering; Voltage; Physics; Mechanical engineering; Transistor; Optics","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":[0.0000481259,0.000123044,0.0001255514,0.00004696468,0.00003270752,0.0000539615,0.0001119115,0.00006131659,0.0001240707],"category_scores_gemma":[0.000006345465,0.0001099687,0.00004531676,0.00007569265,0.000006493036,0.0002031237,6.168975e-7,0.00005349866,0.0001374152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002792712,"about_ca_system_score_gemma":0.00001535132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008037453,"about_ca_topic_score_gemma":0.00002406184,"domain_scores_codex":[0.9993804,0.000008514775,0.0001948447,0.0001185127,0.0001039381,0.0001938686],"domain_scores_gemma":[0.9997239,0.00001761861,0.00002076867,0.0001321979,0.00005960087,0.00004598559],"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":[0.000004796124,0.00001293224,0.000109753,0.0002048741,0.00006093432,9.90716e-7,0.0001098418,0.002048296,0.9644317,0.00658259,0.0008091872,0.02562412],"study_design_scores_gemma":[0.0004465639,0.00002516418,0.00115522,0.00007056192,0.0000420955,0.00001704664,0.00005554064,0.2701631,0.7048513,0.00001971898,0.02281444,0.0003393367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2388454,0.0001202276,0.7014769,0.0000726621,0.001085877,0.0005739029,0.00004809708,0.001841537,0.05593538],"genre_scores_gemma":[0.9986287,0.000005971228,0.0002573392,0.0000246343,0.0003806166,0.00008280967,0.0000565997,0.00003461471,0.0005287476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7597833,"threshold_uncertainty_score":0.4484395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103134546080514,"score_gpt":0.199382747698648,"score_spread":0.1883514022378429,"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."}}