{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005878984,0.0006751962,0.0006038927,0.000447627,0.0005000019,0.001049333,0.001046263,0.001312691,0.003264362],"category_scores_gemma":[0.001397494,0.0004856618,0.0007731819,0.000527786,0.0005169307,0.0007667281,0.0006297118,0.0006982317,0.0005117243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159504,"about_ca_system_score_gemma":0.001689211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01059897,"about_ca_topic_score_gemma":0.007224,"domain_scores_codex":[0.9997589,0.00008172954,0.000008667911,0.00001856291,0.00009515368,0.00003698455],"domain_scores_gemma":[0.999627,0.000213744,0.00002765758,0.00003795871,0.00007138453,0.00002230499],"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":[0.00001326176,0.00001399386,0.0002597421,0.00002759859,0.000008512919,0.00001937785,0.0000286719,0.9900833,0.0007801135,0.005084608,0.000284744,0.003395998],"study_design_scores_gemma":[0.000005666887,0.000007986046,0.00005902324,0.000006478921,0.000003363307,0.000005348697,0.000006945394,0.9960227,0.000357184,0.001529964,0.001991838,0.000003447554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09197744,0.001145482,0.8586939,0.0008791858,0.0001779509,0.000259216,0.0007286482,0.001637156,0.04450103],"genre_scores_gemma":[0.7503037,0.001915771,0.2271073,0.0001838078,0.00006450378,0.0009845488,0.000842449,0.0004159581,0.01818207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01059897,"threshold_uncertainty_score":0.02107453,"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."}}