{"id":"W91131587","doi":"","title":"WDM optical network: Efficient techniques for fault-tolerant logic topology design","year":2004,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wavelength-division multiplexing; Computer science; Topology (electrical circuits); Network topology; Fault tolerance; Computer network; Distributed computing; Electronic engineering; Engineering; Physics; Optics; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004902722,0.0003426644,0.0005332203,0.0002027794,0.0003719656,0.00002053607,0.0007694177,0.0006012944,0.00005954179],"category_scores_gemma":[0.0001426787,0.0003990914,0.0002272581,0.0004909802,0.0005531848,0.000247872,0.0002886177,0.000608899,0.0000542948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003690257,"about_ca_system_score_gemma":0.00004242329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004594911,"about_ca_topic_score_gemma":0.0000245856,"domain_scores_codex":[0.998042,0.00004827334,0.0002791959,0.0004758153,0.0002663084,0.0008883775],"domain_scores_gemma":[0.9987805,0.0002855025,0.00009102195,0.000529165,0.0001369654,0.0001768293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003127875,0.0001169342,0.000356975,0.00008961504,0.0001105236,0.00007307584,0.0001874082,0.9560094,0.00750778,0.02831766,0.0002723616,0.006645435],"study_design_scores_gemma":[0.02123369,0.006591218,0.02953621,0.00185958,0.001368287,0.0005236825,0.005052639,0.1884096,0.2167228,0.4867637,0.03325567,0.008682905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3275834,0.0004218258,0.6678133,0.0006636323,0.0002271124,0.0007804662,0.00001861117,0.001362815,0.001128809],"genre_scores_gemma":[0.6221614,0.00006043669,0.3775144,0.00005514431,0.00007194107,0.00000478556,0.00001104021,0.00004106604,0.00007977036],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7675998,"threshold_uncertainty_score":0.9998461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277286566640666,"score_gpt":0.2298664179971645,"score_spread":0.2070935523307579,"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."}}