{"id":"W2017139832","doi":"10.1145/944747.944754","title":"A study of iSCSI extensions for RDMA (iSER)","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hewlett-Packard (Canada)","funders":"","keywords":"iSCSI; Remote direct memory access; Computer science; Computer network; Internet protocol suite; Operating system; Protocol (science); SCSI; Embedded system; Fibre Channel; Computer data storage; The Internet","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":[0.004336595,0.0005641481,0.0004011138,0.0006104864,0.0007946073,0.00230811,0.001334165,0.0008447136,0.0017907],"category_scores_gemma":[0.007769953,0.0008096321,0.00055712,0.0008636988,0.001242139,0.004110111,0.0008095565,0.002472487,0.0007939788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607376,"about_ca_system_score_gemma":0.001814824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001361268,"about_ca_topic_score_gemma":0.0009783282,"domain_scores_codex":[0.9974173,0.000578447,0.0002109276,0.0003022176,0.00120355,0.0002875015],"domain_scores_gemma":[0.9952099,0.001493449,0.0005241716,0.001291084,0.001366421,0.0001150337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001521995,0.0001335485,0.00171537,0.0006418035,0.0000302481,0.0006398606,0.001410433,0.01854966,0.06457362,0.7503756,0.003699502,0.1580783],"study_design_scores_gemma":[0.0000908233,0.001636439,0.003208039,0.0006953707,0.000128761,0.004320222,0.001046701,0.1355678,0.1779302,0.07061645,0.6046082,0.0001509584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1631031,0.010092,0.6977027,0.001459279,0.0004467288,0.001083434,0.0001821562,0.001124019,0.1248066],"genre_scores_gemma":[0.5044974,0.009276163,0.4388538,0.0008066539,0.0003167177,0.001029837,0.0006327364,0.0005829316,0.0440038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004336595,"threshold_uncertainty_score":0.02293438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04617744445200687,"score_gpt":0.303996622127321,"score_spread":0.2578191776753141,"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."}}