{"id":"W2570413750","doi":"","title":"Modelling and simulation of optical integrated networks for early-stage design exploration (WIP)","year":2016,"lang":"en","type":"article","venue":"Summer Computer Simulation Conference","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"","keywords":"Software deployment; Computer science; Throughput; Bandwidth (computing); Context (archaeology); Graphical user interface; Power consumption; Interface (matter); Communications system; Systems engineering; Distributed computing; Computer architecture; Embedded system; Power (physics); Engineering; Wireless; Computer network; Telecommunications; Software engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001166194,0.0001386456,0.0001763522,0.00006549816,0.00003413815,0.00005341704,0.00007030597,0.00009958897,0.00001724047],"category_scores_gemma":[0.00001860086,0.0001071906,0.00003261639,0.00008699798,0.00003955466,0.0004709895,0.00001681028,0.00005472702,0.000002281834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001881479,"about_ca_system_score_gemma":0.00001103635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005837698,"about_ca_topic_score_gemma":0.000001722471,"domain_scores_codex":[0.9992412,0.00002698478,0.0002883116,0.0001906801,0.00009486576,0.000157909],"domain_scores_gemma":[0.9987538,0.0007820209,0.00004885186,0.0001217468,0.000229693,0.00006384843],"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":[0.00003336564,0.00000726673,0.0002330448,0.00002232289,0.00001744822,1.895445e-7,0.0001104018,0.9798107,0.0002890388,0.001086422,0.000005303528,0.01838452],"study_design_scores_gemma":[0.0004507719,0.00006873963,0.0001282971,0.00008118002,0.00001416709,6.026762e-8,0.000009529634,0.9968952,0.001366013,0.0006744699,0.0001630345,0.0001485136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1583017,0.00003569282,0.8411113,0.00001772188,0.00017209,0.0002490577,0.000007160012,0.00008604077,0.00001925974],"genre_scores_gemma":[0.9616166,0.00002218151,0.03820358,0.000014512,0.00008462601,0.00001092809,0.00001355114,0.00001859985,0.00001546976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8033149,"threshold_uncertainty_score":0.4371105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1018282203984683,"score_gpt":0.2753441293833016,"score_spread":0.1735159089848333,"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."}}