{"id":"W2795525678","doi":"10.1364/jocn.10.000451","title":"Availability Optimization in Shared-Backup Path Protected Networks","year":2018,"lang":"en","type":"article","venue":"Journal of Optical Communications and Networking","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Scholarship Council","keywords":"Backup; Computer science; Spare part; Path (computing); Distributed computing; Linear programming; Integer programming; Computer network; Engineering; Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001255501,0.0006154956,0.0006691974,0.0005550065,0.0003844441,0.0007768743,0.0006985019,0.0005165556,0.001256697],"category_scores_gemma":[0.003052357,0.0003733562,0.0003015073,0.0005391781,0.000784964,0.0009544097,0.0007263931,0.0006156602,0.0001005809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117346,"about_ca_system_score_gemma":0.0007954752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002688662,"about_ca_topic_score_gemma":0.00229469,"domain_scores_codex":[0.9992866,0.0003354073,0.00002048943,0.00008814089,0.0001557971,0.000113556],"domain_scores_gemma":[0.9979975,0.001547263,0.0001940141,0.00006208423,0.0001470369,0.00005205525],"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":[0.00003329818,0.00001115941,0.0001422164,0.0000195167,0.000007316028,0.00002166568,0.00001428081,0.9930372,0.0006454492,0.002138066,0.00009396148,0.003836009],"study_design_scores_gemma":[0.000004408296,0.00001925037,0.00006073834,0.000002779787,0.000002242603,0.000007584206,0.000009817659,0.9962709,0.0003784505,0.003183611,0.00005848206,0.000001725372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2107653,0.0005589146,0.7827349,0.0003489707,0.00002543311,0.00006213278,0.0001363645,0.0003221232,0.005045912],"genre_scores_gemma":[0.9625554,0.000145956,0.03639667,0.00002159763,0.00001309471,0.00003426151,0.00003398646,0.00002822296,0.0007707161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002688662,"threshold_uncertainty_score":0.008514106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03252314006047841,"score_gpt":0.270657855011448,"score_spread":0.2381347149509696,"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."}}