{"id":"W4255072796","doi":"10.1145/1168917.1168886","title":"Recording shared memory dependencies using strata","year":2006,"lang":"en","type":"article","venue":"ACM SIGOPS Operating Systems Review","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Computer science; Debugging; Architecture; Stratum; Shared memory; Focus (optics); Layer (electronics); Operating system; Parallel computing; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001117569,0.0009394904,0.0007908014,0.003145495,0.000607933,0.001547896,0.001173685,0.0004893039,0.001722496],"category_scores_gemma":[0.006725856,0.0009003888,0.0005051314,0.002174382,0.0004819935,0.00347895,0.00176345,0.001038877,0.0007964711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006622018,"about_ca_system_score_gemma":0.001852364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005900641,"about_ca_topic_score_gemma":0.01144716,"domain_scores_codex":[0.9985229,0.0002362562,0.0001983854,0.0002247615,0.0006857365,0.0001319247],"domain_scores_gemma":[0.9911663,0.001499578,0.001583967,0.004417867,0.001070808,0.0002614712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001643131,0.0003398999,0.1233331,0.0007957573,0.0003031126,0.001077626,0.004624674,0.03659195,0.09390749,0.03317348,0.01457329,0.6896365],"study_design_scores_gemma":[0.0001958135,0.0009126585,0.06602847,0.0002146808,0.000466943,0.001746657,0.001229917,0.5267136,0.2262182,0.0597958,0.1160017,0.0004756525],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3171396,0.002176065,0.6057663,0.0003614835,0.0001795451,0.0003777441,0.003838829,0.0616204,0.008540078],"genre_scores_gemma":[0.7444717,0.000762044,0.2474865,0.0001031539,0.00005100264,0.0002566307,0.002306247,0.0007787874,0.003783826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005900641,"threshold_uncertainty_score":0.01173264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0380572137921652,"score_gpt":0.2882432819896118,"score_spread":0.2501860681974466,"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."}}