{"id":"W2885726219","doi":"10.1109/rtas.2018.00033","title":"Mining Task Precedence Graphs from Real-Time Embedded System Traces","year":2018,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; TRACE (psycholinguistics); Tracing; Task (project management); Software; Multiprocessing; Set (abstract data type); Embedded software; Software system; Embedded system; Distributed computing; Parallel computing; Real-time computing; Programming language","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":[0.0005208316,0.0001851005,0.0002723421,0.0000826122,0.0002469376,0.0001853599,0.001070351,0.0001199558,0.00008671737],"category_scores_gemma":[0.00003931465,0.000135675,0.00008773294,0.0004593985,0.000119599,0.0007488297,0.0001944567,0.00007222474,0.001067217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005341016,"about_ca_system_score_gemma":0.0000759687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005910625,"about_ca_topic_score_gemma":0.00004000271,"domain_scores_codex":[0.9981596,0.0001123501,0.0003898184,0.0006151307,0.0003699893,0.0003530765],"domain_scores_gemma":[0.9983116,0.000216183,0.0001343708,0.001035945,0.0001718815,0.0001300038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003428457,0.001058033,0.311381,0.00171904,0.0009224881,0.0001739833,0.1233313,0.0002190483,0.17032,0.05411585,0.1115379,0.2248785],"study_design_scores_gemma":[0.002858767,0.00191789,0.1487994,0.00217646,0.000115028,0.0002082528,0.005607514,0.688526,0.1374474,0.004199699,0.004838906,0.003304693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9290004,0.00005295896,0.04516327,0.00009199447,0.001180633,0.0002460163,0.0000044866,0.001316308,0.02294391],"genre_scores_gemma":[0.9591831,0.00000822427,0.03981854,0.00004707059,0.0002116689,0.00002285128,0.000002516814,0.000009197545,0.0006968375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.688307,"threshold_uncertainty_score":0.9997106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009637526207961825,"score_gpt":0.2352515413975948,"score_spread":0.225614015189633,"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."}}