{"id":"W4254899994","doi":"10.4018/978-1-4666-9840-6.ch027","title":"Knowledge as a Service Framework for Collaborative Data Management in Cloud Environments - Disaster Domain","year":2016,"lang":"en","type":"book-chapter","venue":"Big Data","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"NoSQL; Cloud computing; Interoperability; Computer science; Scalability; Emergency management; Disaster recovery; Data management; Service (business); Data integration; Flexibility (engineering); Big data; Data science; Database; World Wide Web; Business; Data mining","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":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.0008952107,0.000556618,0.0005009276,0.0002473728,0.0001641736,0.0002605963,0.01124504,0.000293337,0.00003244687],"category_scores_gemma":[0.00003165146,0.0004638232,0.000052936,0.0001957308,0.00008529721,0.0001132158,0.0272384,0.0003088935,0.001056557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00016457,"about_ca_system_score_gemma":0.00008300135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000092886,"about_ca_topic_score_gemma":0.00009749659,"domain_scores_codex":[0.9959894,0.00007712645,0.0005719697,0.002296271,0.0005159405,0.0005492644],"domain_scores_gemma":[0.9894818,0.0003317672,0.0003465166,0.009663901,0.00003122126,0.0001447868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004510576,0.0001464661,0.000002458803,0.0002206057,0.0003790344,0.00009764083,0.0008245562,0.00001538852,9.879518e-7,0.6230426,0.0434052,0.3318199],"study_design_scores_gemma":[0.0007650804,0.00005231062,0.00001128907,0.001026347,0.00006380683,0.000003088195,0.00007968031,0.003041435,6.353886e-7,0.0838389,0.9105627,0.0005547196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00002701328,0.001537934,0.6500807,0.003801711,0.00300552,0.002535817,0.003711611,0.0001495787,0.3351502],"genre_scores_gemma":[0.0008282154,0.0007466747,0.2003604,0.003754144,0.00471981,0.0001472127,0.004557073,0.0003011743,0.7845852],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8671575,"threshold_uncertainty_score":0.9997814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1025940638340196,"score_gpt":0.3013193340468622,"score_spread":0.1987252702128426,"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."}}