{"id":"W2164849304","doi":"10.1109/cnsr.2011.36","title":"RWA and p-Cycles","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Scalability; Spare part; Computer science; Provisioning; Context (archaeology); Heuristics; Heuristic; Node (physics); Wavelength; Routing and wavelength assignment; Mathematical optimization; Routing (electronic design automation); Distributed computing; Wavelength-division multiplexing; Computer network; Mathematics; Engineering; Optics; Physics","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":[0.0007167743,0.0006293092,0.0005294966,0.0006697432,0.0005245464,0.001189872,0.0008845907,0.0005932273,0.00772806],"category_scores_gemma":[0.002748952,0.000390853,0.0007159433,0.0006754813,0.0009795873,0.001935449,0.0009693377,0.0009273408,0.0008690204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008145847,"about_ca_system_score_gemma":0.001070818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002436143,"about_ca_topic_score_gemma":0.00209157,"domain_scores_codex":[0.9994308,0.0001536668,0.00002612472,0.0001477831,0.0001291146,0.0001124132],"domain_scores_gemma":[0.9989797,0.0004716141,0.0001581448,0.000178584,0.0001329112,0.00007893886],"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":[0.00006633196,0.00005786184,0.0005571802,0.0001831215,0.00003743852,0.0001040974,0.00008038088,0.4885559,0.004172956,0.4225082,0.002678263,0.08099824],"study_design_scores_gemma":[0.00001964099,0.00008611285,0.0001993975,0.00003701514,0.0000205077,0.000105922,0.0000453775,0.6746248,0.001756401,0.3090922,0.01399785,0.00001478402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04805193,0.001343774,0.9247181,0.0004290551,0.00008067671,0.000116366,0.0001402642,0.0003771255,0.02474279],"genre_scores_gemma":[0.7195407,0.001498617,0.2587432,0.0002395716,0.00007630853,0.0003118179,0.0002328832,0.0002601078,0.0190967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00772806,"threshold_uncertainty_score":0.02585298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01762580158320138,"score_gpt":0.1941338278587305,"score_spread":0.1765080262755291,"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."}}