{"id":"W4226443785","doi":"10.1364/ofc.2022.th2a.21","title":"High Degree ROADM Cluster Node","year":2022,"lang":"en","type":"article","venue":"Optical Fiber Communication Conference (OFC) 2022","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Scalability; Computer science; Cluster (spacecraft); Drop (telecommunication); Node (physics); Chassis; Computer network; Degree (music); Distributed computing; Engineering; Telecommunications; Operating system; 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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002894083,0.0002756731,0.0003257938,0.0001125247,0.0004299644,0.00008468871,0.001609749,0.0001396148,0.005084141],"category_scores_gemma":[0.0001533703,0.0003040049,0.00008829464,0.0005012869,0.0002633565,0.0002330456,0.001710537,0.001389637,0.0003968512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002538692,"about_ca_system_score_gemma":0.00003913324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001432207,"about_ca_topic_score_gemma":0.00002444287,"domain_scores_codex":[0.9981669,0.0001388867,0.0004454345,0.0003269857,0.0004168918,0.0005049167],"domain_scores_gemma":[0.9974413,0.0004967016,0.00005904027,0.00178104,0.0000973823,0.0001245185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008644267,0.000251569,0.0001808275,0.00005717793,0.0001624723,0.00001759106,0.0003168271,0.2973531,0.001803866,0.4290393,0.01875816,0.2519726],"study_design_scores_gemma":[0.00214441,0.0003289962,0.001792573,0.0000905282,0.0001335413,0.00007884438,0.001520578,0.4437554,0.001878185,0.06659716,0.4794958,0.002183958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2296444,0.007897691,0.2153351,0.04587313,0.002244027,0.003349596,0.0004053301,0.01276227,0.4824884],"genre_scores_gemma":[0.8762419,0.000427127,0.1208094,0.0003348875,0.00003589354,0.0004528972,0.0001721684,0.00006840464,0.001457297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6465975,"threshold_uncertainty_score":0.9999412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03007874146174064,"score_gpt":0.2413089723905403,"score_spread":0.2112302309287996,"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."}}