{"id":"W2592914787","doi":"","title":"Distributed feedback EBS in a coaxial cable by means of periodical mechanical section modification","year":2006,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Narrowband; Coaxial cable; Coaxial; Broadband; Amplifier; Acoustics; Computer science; Electronic engineering; Optics; Electrical engineering; Bandwidth (computing); Physics; Engineering; Telecommunications; Cable gland","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004165781,0.0002503002,0.0003883649,0.0002280796,0.0001036847,0.00006474962,0.0004069884,0.0003243619,0.00003934449],"category_scores_gemma":[0.00006946255,0.0002913606,0.0001026735,0.0006613738,0.00008498938,0.0002350204,0.00007715282,0.0004530856,0.00000621777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008998649,"about_ca_system_score_gemma":0.00008572856,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01476062,"about_ca_topic_score_gemma":0.00668334,"domain_scores_codex":[0.998089,0.0001236553,0.0007667511,0.0002765039,0.0003035473,0.0004405913],"domain_scores_gemma":[0.9987422,0.00009661609,0.0001565326,0.0008034193,0.00008567618,0.000115573],"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":[0.0001421491,0.0005187619,0.007853843,0.0001398228,0.00004599712,0.000007760983,0.0002984532,0.5087706,0.456972,0.01220817,0.009952364,0.00309008],"study_design_scores_gemma":[0.0008420617,0.00005348946,0.007325452,0.0000629631,0.00001469371,0.00003488823,0.0001278048,0.9030667,0.0775586,0.0009531936,0.009598837,0.0003612974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2467633,0.0007040551,0.7503281,0.0002746648,0.0001026502,0.0005807453,0.0002049312,0.0006162127,0.0004254348],"genre_scores_gemma":[0.988188,0.00008462821,0.01049963,0.00003076508,0.00005853185,0.0006793187,0.0002924056,0.00005969361,0.0001070267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7414247,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008396851665779569,"score_gpt":0.2172813822037575,"score_spread":0.2088845305379779,"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."}}