{"id":"W4414688264","doi":"10.1145/3766882.3767172","title":"Bridging Natural Resilience and Cost-Effectiveness in SSDs for Containerized ML Applications","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Bridging (networking); Resilience (materials science); Quality of service; Set (abstract data type); Reliability (semiconductor); Latency (audio); Container (type theory); Key (lock)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002001331,0.00007817138,0.0001253914,0.0001458917,0.00008408306,0.00005480712,0.0005332166,0.00003514759,2.484279e-7],"category_scores_gemma":[0.0002073025,0.0000709244,0.00001372816,0.0005282396,0.00008645099,0.0004174064,0.0003725575,0.00008881184,8.316045e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006957318,"about_ca_system_score_gemma":0.00003464004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002378614,"about_ca_topic_score_gemma":0.00004953536,"domain_scores_codex":[0.9992939,0.00002049675,0.0001124361,0.0003514692,0.00005055498,0.000171095],"domain_scores_gemma":[0.9990992,0.0004060583,0.00002826814,0.0004077982,0.00004439246,0.00001429412],"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":[0.00001637454,0.00001546476,0.0009046174,0.00003237263,0.000003276187,0.000001601382,0.00001603889,0.00009595336,0.0103166,0.6270509,0.00006621124,0.3614806],"study_design_scores_gemma":[0.005292684,0.0001227251,0.05199456,0.000206582,0.00001130307,0.00001962782,0.0002905718,0.6047534,0.07656492,0.2282259,0.03175818,0.0007595751],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005204111,0.0002940893,0.9919421,0.0007147751,0.00005826769,0.001145509,0.000004061592,0.0003345576,0.0003025109],"genre_scores_gemma":[0.8484344,0.00001376834,0.1502067,0.0001566195,0.000003814876,0.001031285,0.000005134521,0.000002467433,0.0001457437],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8432303,"threshold_uncertainty_score":0.2892213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364021655698195,"score_gpt":0.3165466773021112,"score_spread":0.3029064607451293,"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."}}