{"id":"W4405935701","doi":"10.23919/cnsm62983.2024.10814481","title":"Network Digital Twin for IGP Weight Optimization Demo","year":2024,"lang":"en","type":"article","venue":"","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ciena (Canada); Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","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":[0.00005639844,0.0000653665,0.00007844956,0.00003168452,0.00002897404,0.00006836766,0.00005513291,0.000159892,0.00004250183],"category_scores_gemma":[0.000008038887,0.00005617302,0.00003608783,0.0001187562,0.000007260949,0.0001167228,0.00000622429,0.00007781418,0.00005023623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002182907,"about_ca_system_score_gemma":0.000006632846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.214799e-7,"about_ca_topic_score_gemma":0.000001036068,"domain_scores_codex":[0.9996308,0.000002375135,0.0001094665,0.00007996093,0.00002965444,0.0001477221],"domain_scores_gemma":[0.9998577,0.00004329161,0.000004194107,0.00007016671,0.000009131765,0.00001551304],"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":[0.00000914056,0.000003323402,0.00005705295,0.00003776134,0.00009127073,0.000003891549,0.00001478602,0.8065446,0.000032967,0.03771606,0.1135005,0.04198861],"study_design_scores_gemma":[0.0001395175,0.00001486138,0.00000109941,0.00002259283,0.000009502935,0.000003318001,0.000006727043,0.8525039,0.00008338492,0.001562095,0.145577,0.00007602709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004175899,0.0008866975,0.9430575,0.000278223,0.001723616,0.0002501925,0.000007822441,0.001720031,0.05165834],"genre_scores_gemma":[0.9940364,0.000006192268,0.001240408,0.00002212213,0.001010321,0.00005925441,0.00001825569,0.00002282487,0.003584183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9936188,"threshold_uncertainty_score":0.2290669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008106507874212748,"score_gpt":0.1885276567275953,"score_spread":0.1804211488533826,"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."}}