{"id":"W4403981008","doi":"10.1145/3646547.3688453","title":"Replication: \"Taking a long look at QUIC\"","year":2024,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Replication (statistics); Biology; Virology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000194635,0.0000716326,0.00006561698,0.00004170434,0.0000853356,0.0002408002,0.0003969648,0.00003183018,0.0002545682],"category_scores_gemma":[0.00001348086,0.00005924973,0.00004918048,0.0002727663,0.00001726027,0.0002470494,0.000136243,0.00006822575,0.0009142558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004622087,"about_ca_system_score_gemma":0.00004419057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000429602,"about_ca_topic_score_gemma":0.00001757641,"domain_scores_codex":[0.9991204,0.00001925631,0.0001253793,0.0004374291,0.0001405873,0.0001569165],"domain_scores_gemma":[0.9991183,0.00008870976,0.00002460278,0.0006827353,0.00002833207,0.00005737636],"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":[0.000001001012,0.000004835572,0.0001342527,0.0000052929,0.000009612672,0.00002505734,0.00007430135,0.00009240593,0.00003612259,0.2829006,0.0120121,0.7047044],"study_design_scores_gemma":[0.0001117806,0.00002234152,0.0009228968,0.00004123632,0.000006958532,0.00008655203,0.00000516021,0.8606808,0.0002069412,0.001317348,0.1364446,0.0001534093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002785101,0.001747337,0.9462171,0.006980665,0.0005812587,0.00009529328,2.197985e-7,0.001093691,0.04049934],"genre_scores_gemma":[0.9702615,0.00001718693,0.004442616,0.0008792306,0.0002295143,0.00002417502,0.000001188672,0.000005922503,0.02413867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9674764,"threshold_uncertainty_score":0.9998636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711476553751389,"score_gpt":0.2597504159866373,"score_spread":0.2426356504491234,"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."}}