{"id":"W2770899270","doi":"10.1109/mdat.2017.2771210","title":"Enabling Rapid Construction of Arrival Curves From Execution Traces","year":2017,"lang":"en","type":"article","venue":"IEEE Design and Test","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Comisión Nacional de Investigación Científica y Tecnológica","keywords":"Abstraction; Computer science; Arrival time; Real-time computing; Engineering; Transport engineering","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":[0.002747028,0.001744531,0.0009618831,0.002034755,0.0005788711,0.002658801,0.002046166,0.001176633,0.002569403],"category_scores_gemma":[0.03081041,0.001113574,0.001031584,0.001415846,0.0008058444,0.003138901,0.003745168,0.004054504,0.001917943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007601688,"about_ca_system_score_gemma":0.001909143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00274665,"about_ca_topic_score_gemma":0.002078051,"domain_scores_codex":[0.9965474,0.0007740565,0.0002361462,0.0003763373,0.001828987,0.0002370338],"domain_scores_gemma":[0.9841729,0.008339027,0.0008582711,0.004447464,0.001847859,0.0003345345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004808294,0.0002825006,0.007821881,0.0004577752,0.0001341477,0.0006501646,0.001251089,0.4633417,0.06036974,0.1219471,0.004936985,0.3383261],"study_design_scores_gemma":[0.0000166458,0.00005051247,0.0004948993,0.00003015153,0.00001001019,0.0001811124,0.00006555284,0.931232,0.0220477,0.03819131,0.007641098,0.00003890996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002807486,0.00003090242,0.9938611,0.00003241534,0.00001262213,0.00003897304,0.00006956083,0.002808134,0.0003388182],"genre_scores_gemma":[0.2644423,0.000375985,0.7297761,0.00009297941,0.0000584569,0.0003479434,0.001157614,0.002147574,0.001600955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002747028,"threshold_uncertainty_score":0.01452786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02981984893806513,"score_gpt":0.250566736882723,"score_spread":0.2207468879446579,"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."}}