{"id":"W2098666492","doi":"10.1145/545214.545244","title":"Experiences with VI communication for database storage","year":2002,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Implementation; Exploit; Database; Kernel (algebra); Software deployment; Operating system; Linux kernel; Distributed computing; Embedded system; Software engineering","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":[0.002861843,0.0004157699,0.0002720182,0.0003771617,0.001119682,0.002897353,0.001728897,0.000794331,0.004382703],"category_scores_gemma":[0.008449605,0.0003883394,0.000292356,0.001001879,0.0007425818,0.00352137,0.001779257,0.001344333,0.001038876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034323,"about_ca_system_score_gemma":0.0008616093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002479482,"about_ca_topic_score_gemma":0.002174617,"domain_scores_codex":[0.9974931,0.001136719,0.0001390171,0.0001775245,0.0006991221,0.0003545875],"domain_scores_gemma":[0.9967181,0.001351906,0.0001564284,0.0006276843,0.0008678825,0.000278011],"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":[0.001787912,0.001142876,0.04034783,0.001635698,0.0001442299,0.003041366,0.02902935,0.02889021,0.09150105,0.0578607,0.04068805,0.7039307],"study_design_scores_gemma":[0.0002072725,0.004762969,0.01160101,0.0005070784,0.0002204385,0.006508167,0.01134076,0.04642408,0.1460667,0.01342624,0.7587099,0.0002253536],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7214466,0.00762682,0.1829944,0.007611155,0.0008188577,0.0002258336,0.0002602797,0.003530181,0.07548596],"genre_scores_gemma":[0.9123545,0.004170813,0.06223571,0.0006584779,0.0003140438,0.00007292079,0.0004184756,0.000609553,0.01916552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004382703,"threshold_uncertainty_score":0.01513505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02720468784387153,"score_gpt":0.2631199432918902,"score_spread":0.2359152554480187,"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."}}