{"id":"W2588065890","doi":"10.1109/ccece.2017.7946714","title":"Dynamic provisioning of fault tolerant optical networks for data centers","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Backup; Survivability; Computer science; Computer network; Provisioning; Heuristic; Wavelength-division multiplexing; Distributed computing; Path (computing); Fault tolerance; Cloud computing; Wavelength","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":[0.00008417974,0.0001129053,0.0001892465,0.00002303377,0.00009581232,0.00004189099,0.0009280333,0.0001012148,0.000005758528],"category_scores_gemma":[0.0002137702,0.00009498037,0.0000329588,0.00002628704,0.0001295111,0.000253463,0.000401311,0.0001381224,0.000002037557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002110203,"about_ca_system_score_gemma":0.000003862405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002002949,"about_ca_topic_score_gemma":0.00001747658,"domain_scores_codex":[0.9992378,0.000001695391,0.0002012158,0.0001985462,0.00007585766,0.0002848643],"domain_scores_gemma":[0.9985776,0.000101644,0.00003814591,0.00121819,0.00002570315,0.00003870256],"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":[0.00002993016,0.00002423123,0.0002814821,0.00008536074,0.00004954875,0.000004016748,0.000006719181,0.7826312,0.0009773909,0.009246124,0.001054729,0.2056093],"study_design_scores_gemma":[0.0002444765,0.00003123897,0.0002742957,0.0000537904,0.00001061534,0.000001291198,0.0000218706,0.997638,0.000247462,0.0005276704,0.0008338004,0.0001154791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01754598,0.0001662521,0.9792691,0.0001645835,0.0002666584,0.0002651124,0.00001330273,0.0004302228,0.001878726],"genre_scores_gemma":[0.7157277,0.00006501329,0.2840919,0.000007142307,0.00001755788,0.0000102552,0.00002172662,0.00002063424,0.00003800927],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6981817,"threshold_uncertainty_score":0.3873187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02148936312372838,"score_gpt":0.2841401360629632,"score_spread":0.2626507729392348,"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."}}