{"id":"W1489094215","doi":"","title":"A branch and price approach for optimal regenerator placement in translucent networks","year":2011,"lang":"en","type":"article","venue":"Optical Network Design and Modelling","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Regenerative heat exchanger; Computer science; Node (physics); Arc (geometry); SIGNAL (programming language); Computer network; Mathematical optimization; Engineering; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003680833,0.0002756523,0.0003389007,0.00005179617,0.00008657396,0.00003508615,0.0001167888,0.0002478382,0.000003266424],"category_scores_gemma":[0.000008032956,0.0002646105,0.00003900056,0.0001927496,0.0001105611,0.0001166895,0.00003928969,0.0003215168,3.189709e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003534306,"about_ca_system_score_gemma":0.000006894355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.754774e-7,"about_ca_topic_score_gemma":5.34019e-7,"domain_scores_codex":[0.9984331,0.00002380123,0.0003344127,0.000396717,0.00009228281,0.0007196583],"domain_scores_gemma":[0.9994364,0.0001935873,0.00002079027,0.0001687052,0.00002137945,0.0001591387],"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":[0.0001756963,0.00003621071,0.00001750707,0.00005085147,0.00002542877,0.000003180998,0.0001082075,0.9772449,0.00004725019,0.01548045,0.00004955203,0.006760821],"study_design_scores_gemma":[0.0006197983,0.000129246,0.000007129363,0.00005270564,0.00002572815,0.000006416231,0.00002826992,0.996368,0.0001422984,0.002156002,0.0001461939,0.0003182305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007372351,0.005831555,0.9850796,0.00001092748,0.00007445224,0.0008260485,9.059348e-7,0.0002702676,0.0005339005],"genre_scores_gemma":[0.3297832,0.001688276,0.6682044,0.00002368866,0.00009055854,0.0001560697,0.000003444872,0.00004054514,0.000009759345],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3224109,"threshold_uncertainty_score":0.9999806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03908209213512495,"score_gpt":0.2100806683123838,"score_spread":0.1709985761772588,"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."}}