{"id":"W2113201721","doi":"10.1109/leos.2007.4382302","title":"Low Distortion Null-Steering Beamforming with a Cascade of Fiber Bragg Grating Gires-Tournois","year":2007,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Optical Network Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Fiber Bragg grating; Null (SQL); Beamforming; Cascade; Distortion (music); Amplitude; Optics; Computer science; Physics; Electronic engineering; Bandwidth (computing); Engineering; Telecommunications; Optical fiber","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":[0.0003341961,0.0006141248,0.0002823489,0.0001864107,0.0002382862,0.000363593,0.0004364251,0.0003607645,0.0008750316],"category_scores_gemma":[0.0003922934,0.0002226684,0.0001548265,0.0001743145,0.0003405341,0.0003782385,0.0002647311,0.0002049377,0.0003742267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006626179,"about_ca_system_score_gemma":0.0003325726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002079534,"about_ca_topic_score_gemma":0.003813148,"domain_scores_codex":[0.9996898,0.00004028033,0.000009229895,0.00004874464,0.0001724455,0.00003957755],"domain_scores_gemma":[0.9997423,0.00004575377,0.00006165785,0.00003100706,0.00007491522,0.00004433859],"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":[0.0003274404,0.00009666988,0.001506514,0.00002927867,0.00002485528,0.00009275539,0.00004429467,0.02348787,0.9549211,0.003715088,0.0004026762,0.01535161],"study_design_scores_gemma":[0.00006388457,0.0004554811,0.002154632,0.00001012653,0.00002324679,0.0001357727,0.00001957406,0.3147224,0.6794294,0.0007119458,0.002235791,0.000037691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8080827,0.0002127124,0.1812914,0.0002916233,0.00008900478,0.00006082973,0.000103351,0.0008943315,0.008974018],"genre_scores_gemma":[0.9347885,0.00006779315,0.06323678,0.00005526766,0.00001316403,0.00001998835,0.00004186793,0.00001893625,0.001757632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002079534,"threshold_uncertainty_score":0.004807711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00813275948752992,"score_gpt":0.2006468343766142,"score_spread":0.1925140748890843,"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."}}