{"id":"W2161918273","doi":"10.1109/icdcs.2011.74","title":"Cloud4Home -- Enhancing Data Services with @Home Clouds","year":2011,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Computer science; Cloud computing; Virtualization; Computer network; Data center; Data access; The Internet; Server; Residential gateway; WebRTC; x86; Computer security; Operating system; Database","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008968996,0.0004786763,0.0004134796,0.0004179464,0.0008899104,0.001854215,0.001632965,0.000639242,0.003927415],"category_scores_gemma":[0.001852939,0.0002619739,0.0003982197,0.001062349,0.0005849575,0.002634241,0.0021059,0.0007947974,0.0008333323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111984,"about_ca_system_score_gemma":0.001429134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01435385,"about_ca_topic_score_gemma":0.01141373,"domain_scores_codex":[0.9989164,0.0002296599,0.00003776252,0.00007233996,0.0004004717,0.0003433682],"domain_scores_gemma":[0.9986965,0.0001698937,0.00007909445,0.0004545524,0.0003871775,0.000212856],"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":[0.005108516,0.003239539,0.02798543,0.0009200745,0.0002750637,0.002405702,0.001159931,0.1698076,0.1599897,0.07077221,0.1065963,0.45174],"study_design_scores_gemma":[0.0005232306,0.001306391,0.01311913,0.00007229696,0.0001191925,0.00124857,0.0006851028,0.7108745,0.14862,0.009917656,0.1133818,0.000132068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7308596,0.001128689,0.1568414,0.001869259,0.0003333496,0.0009121766,0.0009512489,0.03262608,0.07447817],"genre_scores_gemma":[0.9443417,0.0002993676,0.0485271,0.000269605,0.0000421407,0.00005311672,0.0006462487,0.0005987769,0.005222007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01435385,"threshold_uncertainty_score":0.02854061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04654696713133803,"score_gpt":0.2199109487159361,"score_spread":0.1733639815845981,"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."}}