{"id":"W4251186899","doi":"10.1109/civemsa.2014.6841428","title":"Front matters","year":2014,"lang":"en","type":"paratext","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Automation, Chinese Academy of Sciences; Institute for Infocomm Research; Pontifícia Universidade Católica do Rio de Janeiro; Tokyo Metropolitan University; Belarusian State University; Yildiz Teknik Üniversitesi; Università degli Studi di Salerno; Universitat de Barcelona; Budapesti Műszaki és Gazdaságtudományi Egyetem; University of Surrey; Chinese Academy of Sciences; Monash University; Massey University; University of Hong Kong; Erciyes Üniversitesi; Coventry University; Oklahoma State University; Robert Gordon University; Politecnico di Torino; Dow Chemical Company; University of Alberta; National Oceanic and Atmospheric Administration; University of Cyprus; Old Dominion University; De Montfort University; Vrije Universiteit Brussel; Università degli Studi di Milano; Missouri University of Science and Technology; University of Toronto; University of Wolverhampton; Università degli Studi di Trento; University of Cincinnati; University of Ottawa","keywords":"Instrumentation (computer programming); Computer science; Plan (archaeology); Data science; Engineering management; Management science; Engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002709551,0.001161449,0.001266982,0.002227981,0.005298064,0.01616819,0.002045667,0.009406975,0.8081274],"category_scores_gemma":[0.03038731,0.0007716366,0.0009148931,0.002053172,0.00130329,0.005530607,0.003078825,0.0045613,0.8125426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003019218,"about_ca_system_score_gemma":0.006578251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002830031,"about_ca_topic_score_gemma":0.005027288,"domain_scores_codex":[0.9950471,0.0003115157,0.0003135382,0.0006816442,0.002951422,0.0006947564],"domain_scores_gemma":[0.9818488,0.001715187,0.0006223574,0.002012598,0.009263013,0.004538031],"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":[0.000006423987,0.000007737177,0.00002588544,0.00003277616,7.37013e-7,0.00001787437,0.00001219654,0.000006078728,0.00004122351,0.001260734,0.9871896,0.01139872],"study_design_scores_gemma":[0.000003300598,0.000003795438,0.00008877715,0.00003053068,5.302783e-7,0.00001620147,0.00002981414,0.000008404285,0.00004227667,0.0004767065,0.9992971,0.000002536876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003067298,0.001578251,0.000512688,0.0315698,0.05354022,0.0002506191,0.003008877,0.00191146,0.9073213],"genre_scores_gemma":[0.001109634,0.0005127221,0.0001493251,0.007117342,0.006030823,0.00009228315,0.0009248646,0.0004706941,0.9835923],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1918726,"threshold_uncertainty_score":0.2736829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04908401919556298,"score_gpt":0.2764763347680963,"score_spread":0.2273923155725333,"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."}}