{"id":"W2047591681","doi":"10.1109/mcom.2004.1262163","title":"The protected working capacity envelope concept: an alternate paradigm for automated service provisioning","year":2004,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Provisioning; Computer science; Backup; Computer network; Spare part; Dimensioning; Distributed computing; Survivability; Routing (electronic design automation); Node (physics); Path (computing); Engineering; Database","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":[0.0001895077,0.0001997469,0.00017696,0.00005424653,0.000664572,0.000111865,0.001607368,0.0001139075,0.000001390622],"category_scores_gemma":[0.0001283441,0.0001662837,0.00003831155,0.0005665496,0.0002414929,0.000238697,0.0001666228,0.0004393153,0.00003453404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001470155,"about_ca_system_score_gemma":0.00002783698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001302073,"about_ca_topic_score_gemma":0.0003823597,"domain_scores_codex":[0.998923,0.00004305861,0.0003445663,0.0001869113,0.0001123023,0.0003901311],"domain_scores_gemma":[0.9974995,0.0003198507,0.00008055432,0.001910434,0.000125092,0.00006451702],"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":[0.00002690587,0.0001060185,0.00003630209,0.00004982672,0.0001014631,0.000001628015,0.0006324766,0.8941216,0.01265197,0.04736027,0.0003533243,0.04455818],"study_design_scores_gemma":[0.0009401033,0.0000818932,0.0005214514,0.0002013462,0.00002589498,0.00001633265,0.00007844594,0.9240513,0.002844582,0.02538447,0.04541514,0.0004390145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2234774,0.004947082,0.7058771,0.01719276,0.001433186,0.007496872,0.00008591669,0.03491713,0.004572548],"genre_scores_gemma":[0.6802374,0.0002897766,0.3186306,0.00007474781,0.00004976827,0.0006066679,0.00003733518,0.00005413434,0.00001960016],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.45676,"threshold_uncertainty_score":0.6780854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04188939976724847,"score_gpt":0.2822890381931096,"score_spread":0.2403996384258611,"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."}}