{"id":"W2242227417","doi":"","title":"Optical Return Loss of Concatenated Reflective Elements","year":2005,"lang":"en","type":"article","venue":"Optical Fiber Communication Conference","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Return loss; Cascade; Zigzag; Diagram; Optics; Transmission loss; Transmission (telecommunications); Materials science; Line (geometry); Insertion loss; Computer science; Physics; Telecommunications; Engineering; Mathematics; Geometry","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":[0.0003187839,0.0004277566,0.0002165269,0.0002507061,0.0001902101,0.000618378,0.0006646807,0.0004773235,0.0008359295],"category_scores_gemma":[0.0008803018,0.0002528848,0.0004128573,0.0001891742,0.0003650448,0.0008438974,0.000264316,0.0003692158,0.0006124218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008389477,"about_ca_system_score_gemma":0.0002419049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008783956,"about_ca_topic_score_gemma":0.0006391018,"domain_scores_codex":[0.9997383,0.00004388157,0.000006852243,0.0000465646,0.00012288,0.00004165502],"domain_scores_gemma":[0.9996709,0.000105376,0.00006758745,0.00006762394,0.00007166529,0.00001692584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006584607,0.0001772106,0.004477122,0.0001123161,0.00006798534,0.0004111415,0.0001914049,0.5739471,0.3757564,0.01852976,0.0005715778,0.02509949],"study_design_scores_gemma":[0.00001746204,0.0003147861,0.001333954,0.00001427843,0.00003080754,0.000166256,0.00002611571,0.9114135,0.08430693,0.001639374,0.0007076125,0.00002900102],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8573554,0.000377341,0.1311477,0.00008070238,0.00003229877,0.00002277536,0.000097891,0.0005414741,0.01034447],"genre_scores_gemma":[0.9906357,0.0001292471,0.007234113,0.000009821762,0.000004218856,0.0000097977,0.00004169393,0.00002600782,0.001909278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008783956,"threshold_uncertainty_score":0.006087065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02784854441841342,"score_gpt":0.275896110665736,"score_spread":0.2480475662473226,"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."}}