{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003054125,0.001715021,0.0008050416,0.001238781,0.0004276323,0.002687336,0.004340024,0.001092636,0.02181037],"category_scores_gemma":[0.01007122,0.00120976,0.001383591,0.0006981282,0.0005218785,0.005455033,0.004606834,0.002221764,0.01277206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005532306,"about_ca_system_score_gemma":0.001808505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002244014,"about_ca_topic_score_gemma":0.002093839,"domain_scores_codex":[0.9971067,0.0004354952,0.0003496025,0.0005823939,0.001213855,0.0003119757],"domain_scores_gemma":[0.9936602,0.001221806,0.0003483828,0.003623114,0.0009421345,0.0002044052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002620158,0.0006653009,0.005705719,0.002913274,0.0005543191,0.00123949,0.001145221,0.02968365,0.03526972,0.07709059,0.2504376,0.592675],"study_design_scores_gemma":[0.0002629175,0.0004878834,0.002719368,0.000329831,0.0002265931,0.000985992,0.0001962611,0.1684628,0.09649296,0.02437547,0.7051997,0.0002601937],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01012664,0.0006512376,0.5796717,0.0004854313,0.0005141791,0.0006245718,0.006137223,0.3779994,0.02378958],"genre_scores_gemma":[0.2161769,0.001486602,0.6298857,0.001651215,0.0003414676,0.001215528,0.03964417,0.04949317,0.06010524],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02181037,"threshold_uncertainty_score":0,"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."}}