{"id":"W1967003152","doi":"10.1117/12.410907","title":"&lt;title&gt;Disk-striping scalability in the Exedra media server&lt;/title&gt;","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Data striping; Scalability; Server; Computer science; The Internet; Component (thermodynamics); Focus (optics); Computer network; Operating system; Distributed computing; Physics","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":[0.001765609,0.0003322176,0.0004484075,0.0006254698,0.0005078323,0.001716245,0.0007158113,0.0004693734,0.005350336],"category_scores_gemma":[0.004458081,0.0001579189,0.0001724036,0.0009765015,0.0007400911,0.002984818,0.0006697582,0.0008496374,0.001190452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008589613,"about_ca_system_score_gemma":0.0005168893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001834037,"about_ca_topic_score_gemma":0.001507941,"domain_scores_codex":[0.9992692,0.0002282418,0.00004472521,0.0001124421,0.0002217984,0.0001236817],"domain_scores_gemma":[0.9969456,0.00163563,0.0001349279,0.0003249107,0.0007841283,0.0001749098],"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":[0.00350864,0.001020568,0.02738801,0.0008930997,0.0001068747,0.001180202,0.0005706963,0.2385442,0.1637969,0.1022402,0.06309596,0.3976547],"study_design_scores_gemma":[0.00006144497,0.0004227368,0.005591865,0.00007201548,0.00003633664,0.0003604438,0.0002834399,0.9154437,0.05453441,0.01438061,0.008768848,0.00004417939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7259758,0.01022106,0.1972865,0.005827078,0.0008772531,0.00024955,0.0009782331,0.004053558,0.05453107],"genre_scores_gemma":[0.9619738,0.001492769,0.02708896,0.0001623127,0.0001938925,0.00006504149,0.0002639527,0.0001817892,0.00857738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005350336,"threshold_uncertainty_score":0.01789862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223956505847736,"score_gpt":0.2285182685290935,"score_spread":0.2162787034706161,"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."}}