{"id":"W1984251333","doi":"10.1117/12.904746","title":"Reducing the energy consumption of the reliable design of IP/WDM networks with quality of protection","year":2011,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Backup; Energy consumption; Computer network; Bandwidth (computing); Wavelength-division multiplexing; Computer science; Efficient energy use; Engineering; Electrical engineering; Operating system","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":[0.0008011441,0.0004366409,0.0001768879,0.0002969217,0.0002809922,0.0004675671,0.0008413294,0.00025698,0.0009117437],"category_scores_gemma":[0.001601441,0.0002000161,0.0002056259,0.0002108123,0.0002939656,0.000869969,0.0003845292,0.0003944043,0.0001465594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005826828,"about_ca_system_score_gemma":0.0004566014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005190498,"about_ca_topic_score_gemma":0.0009575622,"domain_scores_codex":[0.9995105,0.0001458664,0.00002463503,0.00005968355,0.0002103417,0.00004899621],"domain_scores_gemma":[0.9990702,0.000292021,0.0001973872,0.0001855262,0.000228177,0.0000267572],"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":[0.0002254326,0.0001068083,0.004226542,0.0003289975,0.00005526983,0.0001989123,0.00009708802,0.6388392,0.1599221,0.01719516,0.001509015,0.1772956],"study_design_scores_gemma":[0.00002145737,0.0002719483,0.001472686,0.00001110292,0.00002476693,0.0001377982,0.00002013543,0.9527687,0.03686089,0.004227105,0.00417213,0.00001124249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2639566,0.0007923368,0.7291833,0.0003574436,0.00005451822,0.00009167635,0.00007597592,0.00038324,0.005104894],"genre_scores_gemma":[0.9445498,0.0001836428,0.05462923,0.00003710296,0.0000163062,0.00003643238,0.00003587018,0.00002176692,0.0004899452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009117437,"threshold_uncertainty_score":0.004236937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02625969450814096,"score_gpt":0.2230227541309255,"score_spread":0.1967630596227845,"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."}}