{"id":"W3095132872","doi":"10.1145/3417990.3422003","title":"MReplayer","year":2020,"lang":"en","type":"article","venue":"","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Timestamp; TRACE (psycholinguistics); State (computer science); Unified Modeling Language; Distributed computing; Set (abstract data type); Overhead (engineering); Programming language; Real-time computing; Software","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":[0.00008243999,0.00004865217,0.00006801617,0.00001270505,0.00002572319,0.0001163557,0.0004893661,0.00001889505,0.00007983788],"category_scores_gemma":[0.00002884141,0.0000393543,0.0000274751,0.0001840453,0.000004720413,0.0003488078,0.0001470044,0.00004379459,0.001719586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005707748,"about_ca_system_score_gemma":0.00002074588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001891668,"about_ca_topic_score_gemma":5.772473e-7,"domain_scores_codex":[0.9994195,0.00001971347,0.0001034397,0.0002087285,0.0001327244,0.0001159321],"domain_scores_gemma":[0.9995797,0.00002236319,0.00002179061,0.0002488827,0.00002085008,0.0001063657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005450184,0.00003844122,0.003370209,0.000056417,0.00004642412,0.000124585,0.00512309,0.00107653,0.05611081,0.81254,0.07523885,0.04626919],"study_design_scores_gemma":[0.000417788,0.0001163707,0.001482753,0.00001214963,0.000002781709,0.00004295589,0.0001039449,0.8960571,0.03673412,0.001401952,0.06323419,0.000393889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004788926,0.00002013768,0.890117,0.007007528,0.0001251373,0.00005479536,5.886825e-8,0.0003510542,0.09753539],"genre_scores_gemma":[0.8794042,4.489583e-7,0.1178606,0.002174727,0.00009143032,0.000002166601,1.102342e-7,0.000003459228,0.0004628728],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8949805,"threshold_uncertainty_score":0.9990577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02879521502285446,"score_gpt":0.2175887679567291,"score_spread":0.1887935529338746,"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."}}