{"id":"W2119037546","doi":"10.1109/icc.1997.609853","title":"Heuristics for ring network design when several types of switches are available","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Heuristics; Tabu search; Computer science; Integer programming; Heuristic; Network planning and design; Greedy algorithm; Variety (cybernetics); Mathematical optimization; Integer (computer science); Order (exchange); Distributed computing; Theoretical computer science; Algorithm; Computer network; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006201752,0.0001205945,0.0001976021,0.00002631319,0.00003555292,0.00001054296,0.0001439143,0.0000966423,0.0002138821],"category_scores_gemma":[0.0001006503,0.0001117976,0.00003639046,0.0001071303,0.00003788682,0.00007146311,0.0000357201,0.00009886382,0.00005529734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002629553,"about_ca_system_score_gemma":0.000001645128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.180336e-7,"about_ca_topic_score_gemma":0.000003023124,"domain_scores_codex":[0.9993277,0.000003770988,0.0001796989,0.0001172273,0.00006531768,0.000306256],"domain_scores_gemma":[0.9994818,0.0002284564,0.00002840494,0.0001951922,0.00003627264,0.00002987302],"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":[0.000005319854,0.00000863193,0.0001873438,0.00005761962,0.00002916506,0.000001083037,0.00001545369,0.9328158,0.0001110279,0.002076743,0.06187212,0.00281964],"study_design_scores_gemma":[0.000169201,0.00004566986,0.00002491948,0.00004636153,0.0000169853,0.000001376245,0.00002333758,0.9725748,0.002324935,0.01598792,0.008602273,0.0001822002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000751309,0.001673816,0.9898736,0.00005015174,0.0001412259,0.000199947,0.000002992452,0.0008436449,0.00646329],"genre_scores_gemma":[0.1749149,0.0002334201,0.8227358,0.00002246796,0.0001068714,0.0000243892,9.267789e-7,0.00003685436,0.001924362],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1741636,"threshold_uncertainty_score":0.4558975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0390211605923332,"score_gpt":0.2064560550418445,"score_spread":0.1674348944495113,"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."}}