{"id":"W7095332901","doi":"","title":"Author manuscript, published in &amp;quot;ACM SIGCOMM, Canada (2011)&amp;quot; Predicting and Tracking Internet Path Changes","year":2013,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Path (computing); traceroute; Tracking (education); The Internet; Path analysis (statistics); Trajectory","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006240625,0.0002993328,0.0003534335,0.0001748877,0.000121248,0.0008969905,0.001281038,0.0001274212,0.0006638646],"category_scores_gemma":[0.0002359744,0.0002605327,0.00003919738,0.0002804024,0.0000528383,0.001103525,0.000525175,0.0004098138,0.0000540924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001303735,"about_ca_system_score_gemma":0.0001994513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.251432,"about_ca_topic_score_gemma":0.7565694,"domain_scores_codex":[0.9975455,0.0001560304,0.0004554755,0.0007244674,0.0004223928,0.000696142],"domain_scores_gemma":[0.9981771,0.0003304961,0.0001633641,0.0008578302,0.000160493,0.0003107856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001205139,0.00008367185,0.0424829,0.00004417099,0.00005395782,0.00003005683,0.002244727,0.000125533,0.0001436676,0.005613021,0.3336769,0.6154893],"study_design_scores_gemma":[0.003336459,0.0002426537,0.1345559,0.0003877407,0.00004702101,0.0001759146,0.001225003,0.5458245,0.0001461308,0.003605411,0.3083977,0.0020556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7272052,0.001334738,0.1887672,0.07246451,0.003343379,0.001284286,0.00001062406,0.0008790332,0.004711078],"genre_scores_gemma":[0.9725254,0.00001432971,0.01053164,0.002201735,0.00023584,0.000109423,0.00001193848,0.00002075746,0.01434893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6134337,"threshold_uncertainty_score":0.9999847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02790887065368533,"score_gpt":0.2206949128145698,"score_spread":0.1927860421608845,"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."}}