{"id":"W1998916694","doi":"10.1109/icc.2012.6364128","title":"Path vs. Cutset approaches for the design of logical survivable topologies","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Benchmark (surveying); Network topology; Wavelength-division multiplexing; Path (computing); Column generation; Routing (electronic design automation); Energy consumption; Distributed computing; Computer network; Mathematical optimization; Mathematics; Engineering","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":[0.002127739,0.001754613,0.0009139042,0.001425139,0.0004829346,0.001359886,0.001329531,0.001297238,0.0069285],"category_scores_gemma":[0.003528656,0.0008727026,0.001304567,0.001795077,0.0009836395,0.001752061,0.0009767072,0.001836502,0.0005965229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0017069,"about_ca_system_score_gemma":0.00137893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002228214,"about_ca_topic_score_gemma":0.002536166,"domain_scores_codex":[0.9990065,0.000520481,0.00004162882,0.0001166995,0.0002253547,0.00008940229],"domain_scores_gemma":[0.9982665,0.001333836,0.0001377501,0.00006734135,0.0001325036,0.00006212224],"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":[0.00006452068,0.00004011705,0.0001394633,0.0001592085,0.00005353867,0.00004917353,0.00003484489,0.8999538,0.0005051403,0.06269652,0.001912572,0.03439108],"study_design_scores_gemma":[0.00002211905,0.00005631785,0.00003608108,0.00002383995,0.00001348768,0.00001984595,0.00001231617,0.9404799,0.000314593,0.056942,0.002073775,0.000005787123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00479109,0.0004536641,0.9914433,0.0002128728,0.00004809436,0.00008401567,0.0001418286,0.0001187569,0.002706325],"genre_scores_gemma":[0.2225506,0.002396541,0.7668289,0.0003193408,0.0001942064,0.0007061047,0.0009095055,0.0002926618,0.005802203],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0069285,"threshold_uncertainty_score":0.02317816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09669274156157531,"score_gpt":0.2478795398613714,"score_spread":0.1511867982997961,"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."}}