{"id":"W2032050941","doi":"10.1109/sc.companion.2012.336","title":"Efficient LHC Data Distribution across 100Gbps Networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canarie; University of Victoria","funders":"Brookhaven National Laboratory; California Institute of Technology","keywords":"Gigabit Ethernet; Gigabit; Salt lake; Data center; Computer science; Server; Ethernet; File Transfer Protocol; Telecommunications; Library science; Operating system; The Internet; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.001211805,0.0001493332,0.0001559623,0.00001234384,0.0002492696,0.0002832885,0.002020449,0.00007986832,0.00001302054],"category_scores_gemma":[0.00004119796,0.000123094,0.0000437433,0.0004117829,0.00003350811,0.0003055628,0.00148768,0.0001321259,0.0002580933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004554647,"about_ca_system_score_gemma":0.00002386748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005266897,"about_ca_topic_score_gemma":0.000003202072,"domain_scores_codex":[0.9982007,0.00008988645,0.0002662106,0.0004013132,0.0002795526,0.0007623123],"domain_scores_gemma":[0.9979402,0.00009362085,0.00009233197,0.001607428,0.00005713642,0.0002092582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001532715,0.001035496,0.03021887,0.00005866319,0.0001169855,0.00001791425,0.001786214,0.3244015,0.00004364372,0.2755545,0.2864482,0.08030262],"study_design_scores_gemma":[0.0001610529,0.00001267832,0.01042441,0.00001332037,0.000002998988,0.00002733017,0.00002356259,0.9096188,0.0000116848,0.000018936,0.07950485,0.0001803749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02105071,0.0003822021,0.974013,0.000185285,0.00187141,0.0001191034,0.00008367424,0.0003869221,0.001907734],"genre_scores_gemma":[0.9961024,0.000002112659,0.002461171,0.0001096193,0.0004943697,0.000003547698,0.000535311,0.000005935817,0.0002855225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9750517,"threshold_uncertainty_score":0.501963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04168450791107705,"score_gpt":0.2993335408818997,"score_spread":0.2576490329708227,"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."}}