{"id":"W2033937100","doi":"10.1145/2433140.2433151","title":"A framework to compute statistics of system parameters from very large trace files","year":2013,"lang":"en","type":"article","venue":"ACM SIGOPS Operating Systems Review","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Granularity; TRACE (psycholinguistics); Hierarchy; Interval (graph theory); Architecture; Data mining; Theoretical computer science; Algorithm; Operating system","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":[0.002644643,0.001676999,0.001782321,0.004819964,0.0009949977,0.003362607,0.003452357,0.001277845,0.002493031],"category_scores_gemma":[0.01317883,0.0009440032,0.001272991,0.003943461,0.001157989,0.005590805,0.002641195,0.002599679,0.002083145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527139,"about_ca_system_score_gemma":0.00241635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008569662,"about_ca_topic_score_gemma":0.005829417,"domain_scores_codex":[0.9977062,0.0002419853,0.0002204976,0.0003753939,0.001312473,0.0001435103],"domain_scores_gemma":[0.9940801,0.002237497,0.0005395631,0.001800839,0.001086922,0.0002550771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004736985,0.0004191796,0.009076408,0.0006148739,0.0003748607,0.0005095374,0.0005171401,0.262602,0.03002315,0.1245825,0.02528509,0.5455215],"study_design_scores_gemma":[0.00005900277,0.0001317465,0.001795381,0.00006595581,0.00005094998,0.0003764216,0.0001159167,0.89674,0.01467863,0.06346145,0.02239645,0.0001280908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001270962,0.0001137418,0.9914922,0.00008330151,0.00002144444,0.00006602909,0.0004662178,0.006241182,0.0002449505],"genre_scores_gemma":[0.09748248,0.0003976625,0.8961862,0.000136766,0.0001086594,0.0004382045,0.003689753,0.0007153356,0.0008449812],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008569662,"threshold_uncertainty_score":0.01703954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02782303016432894,"score_gpt":0.2784168744414443,"score_spread":0.2505938442771154,"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."}}