{"id":"W1945610595","doi":"","title":"OMNInet: a metropolitan 10 Gb/s DWDM photonic switched network trial","year":2004,"lang":"en","type":"article","venue":"Optical Fiber Communication Conference","topic":"Optical Network Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Wavelength-division multiplexing; Photonics; Scalability; Metropolitan area network; Computer science; Node (physics); Computer network; Ethernet; Local area network; Wavelength; Optics; Engineering; 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":[0.003595785,0.0003878377,0.0002629113,0.0002968849,0.0005617191,0.000790062,0.0009655089,0.0006237086,0.005805113],"category_scores_gemma":[0.001918649,0.0001372496,0.0001914271,0.0002472308,0.000792714,0.001171992,0.0008403415,0.0009632353,0.0006221146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008939757,"about_ca_system_score_gemma":0.001615821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001302921,"about_ca_topic_score_gemma":0.00303496,"domain_scores_codex":[0.9992612,0.0001941179,0.00001574062,0.000092275,0.000272738,0.0001638884],"domain_scores_gemma":[0.998645,0.0002750017,0.0001232127,0.0001286766,0.0003678558,0.0004602725],"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":[0.03398751,0.0156894,0.0146941,0.0007888908,0.0004674879,0.002345945,0.000655297,0.02694322,0.188128,0.1127197,0.1528478,0.4507326],"study_design_scores_gemma":[0.01683183,0.09855139,0.02000231,0.0002319129,0.0003418796,0.001988314,0.001120833,0.1342949,0.2311734,0.01607303,0.4792225,0.0001676437],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8310806,0.001475307,0.03704471,0.006493526,0.001493733,0.001827755,0.002940205,0.001909175,0.115735],"genre_scores_gemma":[0.893423,0.000889046,0.04077562,0.001648503,0.0002037764,0.0007491075,0.005232117,0.0002912078,0.05678763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005805113,"threshold_uncertainty_score":0.01942003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02564061723088998,"score_gpt":0.2524173310276693,"score_spread":0.2267767137967794,"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."}}