{"id":"W2134827331","doi":"10.1109/ssd.2008.4632854","title":"The Agile All-Photonic Network: Architectures, algorithms, and protocols","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Photonics; Agile software development; Time-division multiplexing; Computer network; Network architecture; Wavelength-division multiplexing; Multiplexing; Bandwidth (computing); Distributed computing; Telecommunications; Wavelength; Optics; Physics","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":[0.00007328077,0.0001429706,0.000125386,0.0000160636,0.0001869717,0.00002249467,0.0002043727,0.0000829831,0.00001434243],"category_scores_gemma":[0.00003042204,0.00009079141,0.00002616591,0.0001285041,0.0002219483,0.00003014066,0.00009836043,0.0002852393,0.00001399994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000221902,"about_ca_system_score_gemma":0.000006002131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002150414,"about_ca_topic_score_gemma":0.00001916728,"domain_scores_codex":[0.9991499,0.000009355151,0.0001476459,0.0001450744,0.0001029682,0.0004451162],"domain_scores_gemma":[0.9994539,0.0001701057,0.00001292621,0.0002984153,0.00001188561,0.00005277714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003321201,0.00002649722,0.0007069447,0.00005147906,0.0001597856,0.00009236328,0.0001079592,0.5459329,0.0006178281,0.0170872,0.04458808,0.3905958],"study_design_scores_gemma":[0.0004551829,0.0001161402,0.001601678,0.0000365019,0.000008199001,0.0001998843,0.00002928516,0.2809479,0.001718287,0.02608635,0.6883293,0.0004712944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2264389,0.03132806,0.4231492,0.00478116,0.001502133,0.09527182,0.00002622485,0.03831288,0.1791896],"genre_scores_gemma":[0.3422163,0.004752232,0.6239434,0.0006563716,0.0006977174,0.02469347,0.00000838649,0.0002397812,0.002792321],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6437413,"threshold_uncertainty_score":0.3702366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908061806302716,"score_gpt":0.2513614764273697,"score_spread":0.2322808583643426,"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."}}