{"id":"W2164780830","doi":"10.1109/imtc.2007.379337","title":"A Measurement-Oriented Approach to Modeling Packet Loss in IP Networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Quality of service; Implementation; Integrated services; Computer network; Network packet; Service provider; Consistency (knowledge bases); Service (business); Packet loss; Next-generation network; Telecommunications network; Differentiated services; Distributed computing; The Internet; Software engineering","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":[0.001678952,0.0001431881,0.000164645,0.0001391708,0.00006425055,0.00007014403,0.0005064451,0.00007337695,0.000003671766],"category_scores_gemma":[0.00002646944,0.000129016,0.00004667148,0.0008191809,0.00001151364,0.0001991855,0.0001112577,0.0001749303,0.00002184551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009151682,"about_ca_system_score_gemma":0.00003771872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003247265,"about_ca_topic_score_gemma":0.0001341019,"domain_scores_codex":[0.9982242,0.00004671887,0.0003163134,0.0004358581,0.0004422029,0.0005347187],"domain_scores_gemma":[0.9992183,0.00002680833,0.00003122951,0.0003891987,0.0001344927,0.0001999377],"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":[0.00003456473,0.0001359759,0.00086397,0.000002942914,0.00001213115,0.00001226338,0.0002599999,0.6549635,0.000007515909,0.08263963,0.0005053422,0.2605622],"study_design_scores_gemma":[0.0005109737,0.00002465695,0.0004148707,0.00002008095,0.000002360748,0.000005006585,0.00004607959,0.9980629,0.000005989417,0.0001611144,0.0005800921,0.0001658462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007336767,0.0001599808,0.9811265,0.0004040693,0.0002913578,0.0002702479,8.579254e-8,0.0002205267,0.01019048],"genre_scores_gemma":[0.9646655,0.00000365215,0.03395667,0.001102032,0.0001436054,0.00002102441,7.099821e-7,0.000007892304,0.00009891289],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9573287,"threshold_uncertainty_score":0.5261121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02597311066114125,"score_gpt":0.2301343252218467,"score_spread":0.2041612145607055,"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."}}