{"id":"W2162634718","doi":"10.1109/wpc.2002.1021337","title":"Compression techniques to simplify the analysis of large execution traces","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Compression (physics); Data compression; Parallel computing; Algorithm; Materials science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002814092,0.00007885919,0.0001548461,0.0002567039,0.00008802766,0.00002907202,0.0008964595,0.00004771406,0.00001900415],"category_scores_gemma":[0.0001367989,0.00004738933,0.00005506472,0.001799316,0.00004032661,0.0003025692,0.0002785958,0.00007251526,0.000005195593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001949335,"about_ca_system_score_gemma":0.000009252527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001367674,"about_ca_topic_score_gemma":0.0000294296,"domain_scores_codex":[0.9992198,0.00004736294,0.000167994,0.0002296202,0.0001779692,0.0001572742],"domain_scores_gemma":[0.9988409,0.00009469414,0.00007675908,0.0009077538,0.00005672053,0.0000231197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003397367,0.0001043974,0.000628333,0.000005124703,0.00009864986,0.000002709882,0.0003534723,0.0007035031,0.03106566,0.8891434,0.004943784,0.07294755],"study_design_scores_gemma":[0.000096437,0.00009694848,0.003638549,0.00001429756,0.00008564785,0.00000289998,0.0004863132,0.01379511,0.8754001,0.01743523,0.08870479,0.0002436792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01192024,0.00006485375,0.9850153,0.0006271698,0.00002624684,0.0001426415,0.00000884842,0.0005021387,0.001692512],"genre_scores_gemma":[0.7534602,0.00001245466,0.2462207,0.0002277542,0.000001792187,0.00001550741,0.000002251568,0.000002134434,0.00005720172],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8717082,"threshold_uncertainty_score":0.1932481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720121962418062,"score_gpt":0.3068113514850135,"score_spread":0.2896101318608329,"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."}}