{"id":"W7084135053","doi":"10.1109/infocomwkshps65812.2025","title":"IEEE INFOCOM 2025 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","year":2025,"lang":"en","type":"paratext","venue":"","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Communications system; Bandwidth (computing); Focus (optics); Data compression; Transmission (telecommunications); Channel (broadcasting); Entropy (arrow of time); Image compression","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001885348,0.001364861,0.001060706,0.001376742,0.0007437383,0.002729216,0.001062951,0.002339829,0.06993899],"category_scores_gemma":[0.002274137,0.000313145,0.0004376349,0.001329725,0.0008004275,0.002039686,0.001296337,0.002095846,0.03384143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051576,"about_ca_system_score_gemma":0.002071927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005393756,"about_ca_topic_score_gemma":0.006972262,"domain_scores_codex":[0.9991835,0.0002131512,0.00005381099,0.000140132,0.0002857524,0.000123665],"domain_scores_gemma":[0.9986141,0.0002774078,0.00005748684,0.0002267188,0.0006600344,0.0001642796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002858363,0.0002049795,0.0008473824,0.0003307832,0.00005796543,0.0003210299,0.0001325835,0.004113071,0.005433006,0.0156757,0.5016223,0.4709753],"study_design_scores_gemma":[0.00004321815,0.0002731265,0.001573224,0.0004192709,0.00006248141,0.0004596187,0.0001985642,0.06490937,0.006560177,0.01311378,0.9123484,0.00003867763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.030199,0.05158349,0.4434011,0.02746552,0.03391856,0.0006860996,0.002991379,0.009107851,0.400647],"genre_scores_gemma":[0.1730691,0.04017888,0.06663417,0.004304589,0.006439017,0.0007244208,0.008800765,0.001380363,0.6984687],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06993899,"threshold_uncertainty_score":0.2339692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04551263992975755,"score_gpt":0.3086906982136493,"score_spread":0.2631780582838917,"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."}}