{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002514085,0.0001157555,0.000121541,0.0000489532,0.00009309794,0.0001221885,0.002278432,0.00003080582,0.00005181026],"category_scores_gemma":[0.000002407148,0.00008247784,0.00002080701,0.0001989584,0.00002045687,0.0009308367,0.0008670603,0.00009663567,0.0001748316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001018865,"about_ca_system_score_gemma":0.00003459936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085535,"about_ca_topic_score_gemma":0.0004955535,"domain_scores_codex":[0.9989377,0.00002792446,0.0001380981,0.0004512724,0.0002064487,0.0002386023],"domain_scores_gemma":[0.9982097,0.0000273142,0.000047847,0.001583904,0.00004560027,0.00008563904],"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":[0.0005141056,0.001755128,0.1017124,0.0007220547,0.001048586,0.0014026,0.04342743,0.0001102072,0.0354242,0.5016598,0.008334929,0.3038886],"study_design_scores_gemma":[0.005651914,0.002439408,0.05852155,0.0009250969,0.0002368067,0.001050944,0.005854297,0.8443893,0.03574101,0.01847402,0.0212902,0.005425475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6173057,0.000220641,0.3474417,0.000229946,0.0006064239,0.0001191285,0.000006119117,0.0007683216,0.03330208],"genre_scores_gemma":[0.9803049,0.000009233614,0.01793915,0.0006602355,0.00006307907,0.000002305735,0.0000064968,0.000007728984,0.001006873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8442791,"threshold_uncertainty_score":0.4233932,"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."}}