{"id":"W2009455979","doi":"10.1109/broadnets.2007.4550520","title":"Connection management algorithm for advance lightpath reservation in WDM networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"CERN","keywords":"Reservation; Wavelength-division multiplexing; Computer network; Computer science; Blocking (statistics); Bandwidth (computing); Routing and wavelength assignment; Distributed computing; Multiplexing; Channel (broadcasting); Grid computing; Grid; Telecommunications; 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":[0.0001982101,0.00009889988,0.0000986171,0.0001045825,0.00002714454,0.000009109833,0.00009137594,0.00009678461,0.000005250302],"category_scores_gemma":[0.00001752229,0.00009957879,0.00002134013,0.0003552148,0.00001611181,0.0001651755,0.00002789921,0.0001165108,0.000003901846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001188525,"about_ca_system_score_gemma":6.698069e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001636887,"about_ca_topic_score_gemma":0.00008624861,"domain_scores_codex":[0.9992639,0.000002337568,0.0002042334,0.000149152,0.00006636351,0.0003139741],"domain_scores_gemma":[0.9996856,0.00009781356,0.0000153893,0.0001553952,0.00002280561,0.00002298214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008080528,0.00001010847,0.0001133806,0.00001690291,0.00000715803,0.000004874941,0.000004628916,0.3482439,0.00002526061,0.01839147,0.0004232835,0.6327509],"study_design_scores_gemma":[0.0003350812,0.0000349788,0.00184889,0.00002730833,0.000003311206,7.752296e-7,0.0001158172,0.9740788,0.0005246351,0.008990634,0.01389207,0.0001477026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003133231,0.0002596586,0.989447,0.00006165552,0.0002844843,0.00039649,5.919335e-7,0.0008789596,0.005537902],"genre_scores_gemma":[0.1337959,0.0003938432,0.8652275,0.00005181911,0.00009638904,0.00008961334,0.00001158227,0.00002874218,0.0003046304],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6326032,"threshold_uncertainty_score":0.4060705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00886335499149617,"score_gpt":0.2390289342459084,"score_spread":0.2301655792544123,"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."}}