{"id":"W2811032428","doi":"10.23919/ondm.2018.8396102","title":"Path protection in optical flexible networks with distance-adaptive modulation formats","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Scalability; Network topology; Distributed computing; Path (computing); Grid; Path protection; Modulation (music); Computer network; Topology (electrical circuits); Wavelength-division multiplexing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009469588,0.0005282066,0.0002985405,0.0004401638,0.0004269886,0.000702142,0.0006744267,0.0005958044,0.001010713],"category_scores_gemma":[0.002648717,0.0002981463,0.000281265,0.0007122688,0.0008785822,0.001375218,0.0006667264,0.0005364252,0.0001022331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001113247,"about_ca_system_score_gemma":0.0005039131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002904124,"about_ca_topic_score_gemma":0.002343568,"domain_scores_codex":[0.9995918,0.0001839907,0.00001052363,0.00004830732,0.00009040131,0.00007507114],"domain_scores_gemma":[0.9986545,0.0009055216,0.0002151753,0.000127193,0.00006570925,0.00003196015],"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":[0.00004915877,0.00002514587,0.0002606401,0.00003537598,0.000009509644,0.00006582167,0.0000298474,0.9667387,0.002464316,0.02021091,0.0002304521,0.009880162],"study_design_scores_gemma":[0.000006978607,0.00003424456,0.000116877,0.000004605914,0.000004066612,0.00002833064,0.0000121214,0.9890516,0.0007453391,0.009752948,0.0002385296,0.000004301979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.230757,0.0008931799,0.7626136,0.000459886,0.00004291939,0.00005803566,0.0001193444,0.0001896577,0.004866437],"genre_scores_gemma":[0.9682399,0.0003434303,0.02961252,0.00004376877,0.00001965302,0.00002563249,0.00003051933,0.00002237832,0.001662212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002904124,"threshold_uncertainty_score":0.008077264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635687429214433,"score_gpt":0.2214004288523908,"score_spread":0.2050435545602465,"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."}}