{"id":"W2296025542","doi":"","title":"sRoute: Treating the Storage Stack Like a Network.","year":2016,"lang":"en","type":"article","venue":"File and Storage Technologies","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Protocol stack; Computer network; Forwarding plane; Network packet; Operating system; Routing table; Distributed computing; Hypervisor; Throughput; Latency (audio); Stack (abstract data type); Routing protocol; Cloud computing; Wireless; Virtualization","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":[0.001367167,0.0008856003,0.000431279,0.0006908502,0.001226309,0.004440925,0.002473668,0.001273218,0.00476133],"category_scores_gemma":[0.001560375,0.0004943388,0.0007204758,0.000557231,0.001922579,0.00779026,0.003595245,0.001924882,0.001668396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352315,"about_ca_system_score_gemma":0.001755405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004229771,"about_ca_topic_score_gemma":0.005611167,"domain_scores_codex":[0.9993217,0.00012305,0.00004785839,0.0001483596,0.0002322639,0.0001267239],"domain_scores_gemma":[0.9991336,0.0001047088,0.00006932698,0.000372432,0.0002278334,0.00009202166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004899298,0.0001388411,0.002726982,0.0007339198,0.0001839749,0.0005406917,0.001566023,0.04801068,0.03416195,0.6689658,0.04773279,0.1947484],"study_design_scores_gemma":[0.00009431665,0.000330194,0.0009988178,0.0002512922,0.0001941469,0.0006489911,0.0005850898,0.2000638,0.0405426,0.2017963,0.5543105,0.0001839585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01919639,0.001834463,0.9385837,0.001858226,0.0009331308,0.0002956782,0.0003188828,0.007965663,0.0290139],"genre_scores_gemma":[0.3927185,0.003691732,0.535943,0.002486137,0.0005156758,0.0005912539,0.001407033,0.002373525,0.0602732],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00476133,"threshold_uncertainty_score":0.01592827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322945422184858,"score_gpt":0.2249319073216884,"score_spread":0.2117024530998398,"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."}}