{"id":"W2088281234","doi":"10.1117/12.818531","title":"Optical signal infrastucture in a SPICE-based optoelectronic simulation framework","year":2009,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optiwave Systems (Canada); Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electronic circuit; Computer science; Spice; Photodiode; Optical transistor; Optical switch; Electronic engineering; Optical performance monitoring; SIGNAL (programming language); Optical communication; Optical cross-connect; Optical filter; Transient (computer programming); Optical fiber; Interference (communication); Optoelectronics; Wavelength-division multiplexing; Materials science; Telecommunications; Engineering; Voltage; Electrical engineering; Channel (broadcasting); Transistor","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004007168,0.0004117731,0.0005082794,0.000170659,0.00005157392,0.0001293662,0.0007708503,0.0003931347,0.0000286484],"category_scores_gemma":[0.0004196776,0.0003584545,0.0005102733,0.0005704382,0.0001342803,0.0005190063,0.00004885894,0.0007121903,0.000002270247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002831609,"about_ca_system_score_gemma":0.00003756692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002719089,"about_ca_topic_score_gemma":2.261816e-7,"domain_scores_codex":[0.9975843,1.851427e-8,0.0007742468,0.0003852598,0.0006569542,0.0005991892],"domain_scores_gemma":[0.9986397,0.0003163446,0.0001597948,0.00007056633,0.0006541325,0.0001594857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001387488,0.0001739018,0.0004203308,0.0004493617,0.0002209695,2.923679e-7,0.0001693956,0.1078362,0.5204907,0.368347,0.0007123295,0.001040783],"study_design_scores_gemma":[0.00133333,0.0005424039,0.003442748,0.0006085071,0.0001310016,0.000005263865,0.0003203532,0.8266981,0.1579081,0.006955121,0.00143384,0.0006212299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954131,0.0002402949,0.0004842983,0.0009723406,0.000187107,0.0005014654,0.00001822239,0.0001754879,0.002007687],"genre_scores_gemma":[0.9299696,0.0000445347,0.06928699,0.0001977675,0.0003653173,0.00005398764,0.00000896497,0.00005633661,0.00001646657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7188619,"threshold_uncertainty_score":0.9998868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008391876469234718,"score_gpt":0.2301544273692936,"score_spread":0.2217625509000589,"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."}}