{"id":"W2765595657","doi":"10.1109/isemc.2017.8077865","title":"Study of fiberweave effect through simulation and measurement on performance of differential stripline at high frequency","year":2017,"lang":"en","type":"article","venue":"","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ciena (Canada)","funders":"","keywords":"Stripline; Cable gland; Materials science; Substrate (aquarium); Fiber; Optics; Acoustics; Electronic engineering; Optoelectronics; Electrical engineering; Engineering; Physics; Composite material","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":[0.0002371394,0.0003642922,0.0001956439,0.0002167915,0.0001984533,0.0002667743,0.0004068525,0.0003997617,0.0007651873],"category_scores_gemma":[0.0007223478,0.000155338,0.0002907726,0.000266873,0.0002662762,0.0004933686,0.0001609297,0.000230273,0.0001144449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003793395,"about_ca_system_score_gemma":0.0002015894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001772739,"about_ca_topic_score_gemma":0.001194948,"domain_scores_codex":[0.9998122,0.00002795523,0.000007967057,0.0000352463,0.00007978482,0.00003697439],"domain_scores_gemma":[0.9994655,0.0002320261,0.0001017294,0.00006800549,0.0001099095,0.00002283351],"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":[0.0003512522,0.0001477727,0.0170814,0.0001781996,0.00005719126,0.0005663866,0.0003757298,0.7050376,0.2573062,0.001249954,0.0004795445,0.01716874],"study_design_scores_gemma":[0.00001355068,0.0003720724,0.004500059,0.000007831113,0.00001956094,0.00008081206,0.00005796384,0.907745,0.08660133,0.0001249663,0.0004610137,0.0000157066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825227,0.00007353632,0.01553087,0.00004660375,0.000009307878,0.00000944502,0.00007739729,0.0002268165,0.001503255],"genre_scores_gemma":[0.9972295,0.00003608103,0.002429982,0.000003541738,0.000001244221,0.000005498892,0.00003391407,0.00001362639,0.0002467262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001772739,"threshold_uncertainty_score":0.003524899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03618477830052642,"score_gpt":0.2667250146684082,"score_spread":0.2305402363678818,"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."}}