{"id":"W4415960475","doi":"10.1145/3768140","title":"Introduction to the Special Section on EuroSys 2024","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Computer Systems","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Special section; Section (typography); Calculus (dental); Term (time)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003227421,0.001746281,0.0009386797,0.004312058,0.001230877,0.00478506,0.001198718,0.003047481,0.1623875],"category_scores_gemma":[0.007697162,0.000365253,0.0007533995,0.002629991,0.0007683643,0.003990769,0.002595909,0.003330915,0.09961769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569761,"about_ca_system_score_gemma":0.002474792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001762386,"about_ca_topic_score_gemma":0.0026668,"domain_scores_codex":[0.9984027,0.0002985738,0.0001509388,0.0002132238,0.000715173,0.0002194663],"domain_scores_gemma":[0.9952105,0.001022856,0.0005362154,0.0003585743,0.001915617,0.0009562076],"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":[0.00004786792,0.00002121201,0.0001332313,0.0001289533,0.00000457123,0.00004887115,0.00001090933,0.0001436432,0.000307685,0.004695713,0.9492714,0.04518601],"study_design_scores_gemma":[0.000004697232,0.00002689855,0.0003994194,0.0001203316,0.000002786335,0.00005359701,0.00001338162,0.0001126327,0.0001027403,0.001924233,0.997232,0.000007191451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001532252,0.03416988,0.01112797,0.05145498,0.6620904,0.0002790462,0.003040381,0.001371985,0.2349332],"genre_scores_gemma":[0.009319567,0.02774246,0.005059541,0.02368632,0.3740183,0.0004329981,0.005767723,0.002224058,0.551749],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1623875,"threshold_uncertainty_score":0.5432402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1266716346130623,"score_gpt":0.3610497217628968,"score_spread":0.2343780871498346,"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."}}