{"id":"W4226135438","doi":"10.1364/ofc.2022.w4g.2","title":"Field Learnings of Deploying Model Assisted Network Feedback Systems","year":2022,"lang":"en","type":"article","venue":"Optical Fiber Communication Conference (OFC) 2022","topic":"Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ciena (Canada)","funders":"","keywords":"Margin (machine learning); Computer science; Field (mathematics); Computer network; Distributed computing; Machine learning","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":[0.00163191,0.0006205991,0.0006411505,0.0003183754,0.0003803864,0.0007852992,0.0008073032,0.0008471406,0.003174067],"category_scores_gemma":[0.00878556,0.0003111977,0.0002406491,0.0002110583,0.0008544343,0.001427317,0.0009151363,0.0009739687,0.0002869112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101238,"about_ca_system_score_gemma":0.001003778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005368299,"about_ca_topic_score_gemma":0.004517512,"domain_scores_codex":[0.9995391,0.0001466862,0.00001404447,0.00009588282,0.00009745203,0.0001068367],"domain_scores_gemma":[0.9953556,0.003159796,0.0003393317,0.0002526937,0.0007065747,0.000186003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002162279,0.00007333297,0.0008112488,0.0000314489,0.00001138489,0.00003602541,0.00004098567,0.9679909,0.001877181,0.007105301,0.0007401789,0.02106582],"study_design_scores_gemma":[0.00000511193,0.00003080605,0.00008096593,0.000002220127,0.000001471481,0.000004726055,0.000004120857,0.9981059,0.0002645349,0.001450878,0.00004710326,0.000002080402],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3484882,0.0005469797,0.636906,0.001173372,0.0001250719,0.0001083265,0.0001586123,0.0009818124,0.01151157],"genre_scores_gemma":[0.9920533,0.00004925254,0.006061333,0.00004673666,0.00001236922,0.00001880817,0.0000264773,0.00001835569,0.001713378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005368299,"threshold_uncertainty_score":0.01067412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280081769809416,"score_gpt":0.2315921247233376,"score_spread":0.203583947742396,"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."}}