{"id":"W4206520537","doi":"10.1145/1272998.1273004","title":"Thread clustering","year":2007,"lang":"en","type":"article","venue":"ACM SIGOPS Operating Systems Review","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Thread (computing); Multithreading; Operating system; Cache; Embedded system; Multiprocessing; Parallel computing","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":[0.002673154,0.0001980155,0.0004019251,0.00007451842,0.0002343212,0.0002902983,0.001559431,0.00006532238,0.000005698866],"category_scores_gemma":[0.0006111058,0.0001664772,0.0000806808,0.0005091635,0.00001696901,0.0003451944,0.0005473228,0.0001639223,0.00007884271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000552036,"about_ca_system_score_gemma":0.00004534417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005931781,"about_ca_topic_score_gemma":0.000004157335,"domain_scores_codex":[0.9980445,0.0001592675,0.0007208302,0.0004176722,0.0002950228,0.000362703],"domain_scores_gemma":[0.9980135,0.000221965,0.0002127121,0.001259741,0.0001861687,0.0001058888],"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":[0.0000055306,0.0003288502,0.003693483,0.01966954,0.000217896,0.0003669147,0.002229364,0.03176675,0.001313107,0.2256633,0.09106772,0.6236775],"study_design_scores_gemma":[0.001222235,0.0006680592,0.0006276941,0.07329444,0.00009745476,0.001525575,0.0001116395,0.5671223,0.002096594,0.001590217,0.3478651,0.003778663],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00009363864,0.06321011,0.9283021,0.0005062394,0.0004504251,0.0005208236,3.875298e-7,0.0008035355,0.006112714],"genre_scores_gemma":[0.1144416,0.01133869,0.8695349,0.002974242,0.0003911922,0.00008103856,0.000008405314,0.00004495398,0.001185035],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6198989,"threshold_uncertainty_score":0.6788744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03575724683578499,"score_gpt":0.3182898578670638,"score_spread":0.2825326110312788,"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."}}