{"id":"W2923701711","doi":"10.1109/bdcloud.2018.00102","title":"DataFall: A Policy-Driven Algorithm for Decentralized Placement and Reorganization of Replicated Data","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Ericsson (Canada)","funders":"","keywords":"Computer science; Distributed computing; Hash function; Upgrade; Variety (cybernetics); Object (grammar); Set (abstract data type); Data structure; State (computer science); Simple (philosophy); Algorithm; Computer security","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":[0.001648867,0.0008936087,0.0009801287,0.001002982,0.001137232,0.001294981,0.002508734,0.001173835,0.004144112],"category_scores_gemma":[0.004013715,0.0006968118,0.0005758069,0.001192237,0.0008887363,0.002163013,0.003033301,0.001077652,0.001657493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373545,"about_ca_system_score_gemma":0.00286209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003507656,"about_ca_topic_score_gemma":0.006306528,"domain_scores_codex":[0.998811,0.0002457868,0.00009472671,0.0002317548,0.0004541352,0.0001625402],"domain_scores_gemma":[0.9979894,0.0005625225,0.0002029582,0.0007174881,0.0003390231,0.0001885809],"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":[0.0006759042,0.0002937105,0.001937868,0.0004117091,0.0001207805,0.000247033,0.0004454652,0.2446788,0.02900434,0.02888704,0.0477768,0.6455206],"study_design_scores_gemma":[0.0001657277,0.0001402549,0.0003294148,0.00002181266,0.00001659051,0.000157549,0.0001363482,0.9506821,0.01195775,0.01940434,0.01695344,0.00003468327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00815172,0.0002055311,0.9826034,0.0002499902,0.0001167633,0.0003096338,0.0002127329,0.006731339,0.001418821],"genre_scores_gemma":[0.12943,0.0001575665,0.8653568,0.0001803904,0.00004651007,0.0004579729,0.0009125707,0.0006061867,0.002852015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004144112,"threshold_uncertainty_score":0.01386338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04063099782842776,"score_gpt":0.3262534276605167,"score_spread":0.2856224298320889,"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."}}