{"id":"W2116859935","doi":"10.1109/noms.2004.1317773","title":"A policy-based approach for user controlled lightpath provisioning","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Universidad de Playa Ancha; Université du Québec à Montréal; Canarie; Cisco Systems","keywords":"Provisioning; Computer science; Computer network; Resource allocation; Resource management (computing); Distributed computing; Domain (mathematical analysis); Control (management); Resource (disambiguation)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.004698791,0.0006286408,0.0005494239,0.0008984352,0.001437328,0.003523552,0.003102343,0.002179241,0.003516934],"category_scores_gemma":[0.003895126,0.0006008693,0.0008684459,0.0007817474,0.002198817,0.003364624,0.001974843,0.003121849,0.001264123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002445002,"about_ca_system_score_gemma":0.004171013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002789796,"about_ca_topic_score_gemma":0.002913508,"domain_scores_codex":[0.9958581,0.001431473,0.0002726566,0.0005579939,0.001530003,0.0003496632],"domain_scores_gemma":[0.9966407,0.001111122,0.0002464995,0.0009935832,0.0006934755,0.0003145406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001901166,0.0005894226,0.0009027032,0.0001751326,0.0001033981,0.0005612505,0.0009683562,0.1155122,0.02390248,0.7146664,0.007762624,0.1346659],"study_design_scores_gemma":[0.00004947835,0.0001229123,0.000199362,0.00004580994,0.00004918056,0.0002904426,0.0001485882,0.7941063,0.01114722,0.1504356,0.04333217,0.0000729806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003315798,0.00009206223,0.9873165,0.0006463959,0.00008782495,0.0002477251,0.00002936576,0.0008751752,0.007389089],"genre_scores_gemma":[0.2583431,0.0002972434,0.7300006,0.00057588,0.0001362448,0.0005440853,0.0001215032,0.0001889545,0.009792378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004698791,"threshold_uncertainty_score":0.02484989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00820906426301913,"score_gpt":0.2291380501263755,"score_spread":0.2209289858633564,"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."}}