{"id":"W2467829111","doi":"10.1109/jlt.2016.2587580","title":"Photonics-Based Broadband Microwave Measurement","year":2016,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":337,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Nanjing University of Aeronautics and Astronautics; Government of Jiangsu Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Broadband; Microwave; Photonics; Bandwidth (computing); Electronic engineering; Microwave engineering; Computer science; Electronics; Signal processing; Microwave imaging; Engineering; Electrical engineering; Telecommunications; Optics; Physics; Digital signal processing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004295371,0.0001485728,0.0003168812,0.0004476018,0.00003331526,0.00001170275,0.0005194154,0.0001726726,0.00005852667],"category_scores_gemma":[0.0001461565,0.0001012903,0.0001025118,0.0002672694,0.000090473,0.0001270473,0.00003914447,0.0002668989,0.00004002313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000456176,"about_ca_system_score_gemma":0.00008704946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.829665e-7,"about_ca_topic_score_gemma":0.00001217808,"domain_scores_codex":[0.9987485,0.00002791174,0.0006094808,0.00009449768,0.0002902704,0.0002292996],"domain_scores_gemma":[0.9986325,0.00008891391,0.0002677076,0.0005630723,0.0003813124,0.00006652249],"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":[0.0000221133,0.0000347672,0.0002793268,0.00001746967,0.0001023544,0.00002283514,0.00003218454,0.00021983,0.9760687,0.0006694517,0.001447951,0.02108304],"study_design_scores_gemma":[0.001199438,0.000126709,0.00006823683,0.0002626237,0.00001986247,0.0002463522,0.00004400044,0.0002709197,0.811056,0.002396438,0.1841467,0.0001627495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4094228,0.02053718,0.5483735,0.009015697,0.002151232,0.0006196806,0.00000952341,0.001067181,0.008803247],"genre_scores_gemma":[0.9877818,0.0002636885,0.01180822,0.00003181403,0.00003241176,0.000008753153,1.319466e-7,0.00003110132,0.00004207521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5783591,"threshold_uncertainty_score":0.4130498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661490937227501,"score_gpt":0.2231209575231385,"score_spread":0.2065060481508635,"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."}}