{"id":"W2046763581","doi":"10.1007/s11227-015-1424-x","title":"Special section on support technology and architecture for networked and distributed applications in big data era","year":2015,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Special section; Architecture; Section (typography); Big data; Computer architecture; Data science; Distributed computing; Operating system","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":[0.001803093,0.001266737,0.001186098,0.001484511,0.001475078,0.002625884,0.001472811,0.004994949,0.03426252],"category_scores_gemma":[0.002930119,0.0004171835,0.000954976,0.001027686,0.0009127498,0.002423843,0.001348678,0.004238392,0.01140304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001188261,"about_ca_system_score_gemma":0.001688457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009438702,"about_ca_topic_score_gemma":0.002875808,"domain_scores_codex":[0.9988518,0.0001352746,0.0001193509,0.0002339425,0.0004657185,0.0001939681],"domain_scores_gemma":[0.9958098,0.00100947,0.0002199728,0.0003246238,0.001862273,0.0007738569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000686953,0.00008053883,0.0002610474,0.0002852394,0.00001474586,0.0002630554,0.00002711192,0.0001463836,0.001191674,0.003766059,0.9618191,0.03207637],"study_design_scores_gemma":[0.0000120343,0.00009033881,0.0007727965,0.0001331361,0.0000195165,0.0003264909,0.0000355631,0.0003628304,0.0004431819,0.002008749,0.9957839,0.00001141736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0008364411,0.01114678,0.001984394,0.02788085,0.9274455,0.00009991227,0.0001496439,0.0001300765,0.03032653],"genre_scores_gemma":[0.007178653,0.01970902,0.001202349,0.01718753,0.7852262,0.0001240448,0.0004545252,0.0002294844,0.1686883],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03426252,"threshold_uncertainty_score":0.1146195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05338250444969183,"score_gpt":0.271514553858921,"score_spread":0.2181320494092291,"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."}}