{"id":"W1990399092","doi":"10.1109/icton.2012.6253874","title":"Energy-efficient lightpaths for computational grids","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":"University of Ottawa","funders":"","keywords":"Computer science; Anycast; Node (physics); Energy consumption; Computer network; Distributed computing; Backbone network; Efficient energy use; Energy (signal processing); Sleep mode; Routing (electronic design automation); Wavelength-division multiplexing; Power (physics); Power consumption; Engineering; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003058845,0.00006758437,0.00006399931,0.00002857015,0.00002605339,0.000005493089,0.00006124496,0.00004756387,0.00002278251],"category_scores_gemma":[0.0000115259,0.00005784682,0.00002695027,0.00007479988,0.00002107871,0.00004503628,0.00001993006,0.00003691188,0.00002076427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002894009,"about_ca_system_score_gemma":0.000001659488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.935357e-7,"about_ca_topic_score_gemma":2.813896e-7,"domain_scores_codex":[0.9995716,0.000001308601,0.00008352356,0.00005479877,0.00005712783,0.0002316581],"domain_scores_gemma":[0.9997739,0.00009139124,0.000005329295,0.00007287991,0.00001686108,0.00003960114],"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":[9.42815e-7,0.00001283715,0.00003268068,0.000004948884,0.000005607426,7.880349e-8,0.000006562462,0.7389899,0.00006848089,0.2484826,0.002254983,0.01014033],"study_design_scores_gemma":[0.0001039923,0.00001258133,0.0001436949,0.000003107147,0.000003293446,0.000001599846,0.00001834546,0.9580385,0.00139555,0.008270135,0.03189587,0.0001133122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008909439,0.0003767424,0.9828755,0.00005811021,0.0002743854,0.00005547516,0.000003099052,0.001011609,0.006435633],"genre_scores_gemma":[0.7622671,0.000005517015,0.237456,0.00003563298,0.00009403326,0.0000296513,0.000006139271,0.00001269671,0.00009321203],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7533576,"threshold_uncertainty_score":0.2358925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009494143433298389,"score_gpt":0.2195409416328429,"score_spread":0.2100467981995445,"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."}}