{"id":"W2327045386","doi":"10.1109/wccais.2014.6916563","title":"Distance awareness Geographic Midpoint - An enhancement constraint-based routing protocol for all- optical networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Routing (electronic design automation); Routing and wavelength assignment; Midpoint; Constraint (computer-aided design); Routing protocol; Computer network; Fault (geology); Protocol (science); Wavelength; Distributed computing; Algorithm; Wavelength-division multiplexing; Engineering; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002822173,0.0002992752,0.0003028613,0.00005804955,0.0001043336,0.00006571668,0.0003080983,0.0001920952,0.00003928953],"category_scores_gemma":[0.00009846655,0.000266106,0.00009184382,0.0001695399,0.0002370573,0.0001401275,0.00004503445,0.0002492909,0.000003950604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006577967,"about_ca_system_score_gemma":0.00001328069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002280399,"about_ca_topic_score_gemma":0.00003201517,"domain_scores_codex":[0.9982876,0.00001898467,0.00041675,0.0003921173,0.0001592801,0.0007253232],"domain_scores_gemma":[0.9989924,0.0002788671,0.00004624566,0.0004742413,0.00006666321,0.0001415178],"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":[0.00007975147,0.0001186111,0.0007190482,0.0001893074,0.00004258071,0.000002251269,0.000007591746,0.8149395,0.0008109142,0.1228922,0.0001294949,0.06006872],"study_design_scores_gemma":[0.0009883348,0.0002472094,0.0001042227,0.00009647296,0.00001213286,0.000001031429,0.00002770081,0.9851843,0.004493263,0.002788858,0.005660108,0.0003963792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001523552,0.000005867567,0.958035,0.00009533002,0.00009725011,0.03728908,0.000002014345,0.001697122,0.00125482],"genre_scores_gemma":[0.5467668,9.897593e-7,0.2949049,0.0001252939,0.0001042986,0.1580164,0.00001713476,0.00005385679,0.00001033184],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6631301,"threshold_uncertainty_score":0.9999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823900265629061,"score_gpt":0.2846103784961602,"score_spread":0.2663713758398695,"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."}}