{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001964678,0.0002174175,0.0002535474,0.0003423946,0.0006104879,0.0004573809,0.001067452,0.0003090877,0.005206855],"category_scores_gemma":[0.0003151363,0.0001503115,0.0001628587,0.0002706192,0.0002179277,0.0005241058,0.0009677598,0.0003318653,0.001936989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006916055,"about_ca_system_score_gemma":0.0006407071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001819658,"about_ca_topic_score_gemma":0.00488839,"domain_scores_codex":[0.9997981,0.00002866934,0.000006566061,0.00004812952,0.00007183605,0.00004669377],"domain_scores_gemma":[0.9997655,0.00001854014,0.00001838929,0.00006765169,0.00008603783,0.00004399909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008787917,0.0003014865,0.004914701,0.0006586188,0.00009161792,0.0008232358,0.0004620022,0.08646482,0.3116271,0.05724361,0.05985238,0.4766817],"study_design_scores_gemma":[0.0001714441,0.001097875,0.005298576,0.00004814152,0.00007472799,0.001020018,0.0002434066,0.683064,0.1815881,0.007652343,0.1195836,0.0001577452],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3894396,0.001009403,0.5244622,0.001221189,0.0005621894,0.0005304023,0.0006540521,0.007393824,0.0747271],"genre_scores_gemma":[0.8703393,0.0001816068,0.1007979,0.0001682071,0.00005872252,0.0001146748,0.0004431381,0.00007735982,0.0278191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005206855,"threshold_uncertainty_score":0.01741868,"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."}}