{"id":"W438436204","doi":"","title":"Proceedings of the 17th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2013), Vancouver, Canada, 9-13 September 2013","year":2013,"lang":"en","type":"book","venue":"IEEE Computer Society eBooks","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Agile software development; Enterprise software; Theme (computing); Computer science; Service (business); Knowledge management; Engineering management; Business; Engineering; Software engineering; World Wide Web; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0004687929,0.0009656224,0.0009835392,0.0001004377,0.0004835049,0.0006161473,0.005755987,0.0004427918,0.00002715583],"category_scores_gemma":[0.000006379194,0.0007882576,0.0009681201,0.0001799989,0.0003489382,0.00008450534,0.002816828,0.001281571,0.00002905408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010772,"about_ca_system_score_gemma":0.00144837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02160641,"about_ca_topic_score_gemma":0.01859738,"domain_scores_codex":[0.9946015,0.00007394961,0.001214186,0.001419667,0.001774605,0.0009161143],"domain_scores_gemma":[0.9957134,0.000244796,0.001541228,0.001119128,0.001111698,0.0002697338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003379046,0.00005111534,0.00006754512,0.000210079,0.0005329227,0.000007171363,0.001268607,0.004353848,0.00002323524,0.0004554043,0.9870024,0.006024255],"study_design_scores_gemma":[0.0007668927,0.00007381463,0.0002047943,0.001209243,0.00009114704,0.00002511975,0.00006277666,0.5897728,0.0002146438,0.0006494449,0.4059507,0.0009786289],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02937097,0.0003951993,0.5604299,0.00281399,0.08899985,0.005566241,0.0004343239,0.001664339,0.3103252],"genre_scores_gemma":[0.08037618,0.00003109398,0.01706822,0.003331437,0.004231875,0.00007269964,0.00004856377,0.0002051215,0.8946348],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5854189,"threshold_uncertainty_score":0.9996234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106536723982107,"score_gpt":0.2043028107938249,"score_spread":0.1932374435540039,"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."}}