{"id":"W2611083490","doi":"10.4018/jdm.2017010103","title":"A Framework for Managing Complexity in Information Systems","year":2017,"lang":"en","type":"article","venue":"Journal of Database Management","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Georgia State University","keywords":"Computer science; Complexity management; Information system; Domain (mathematical analysis); Ontology; Decentralization; Management science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001121506,0.0001342144,0.0002358947,0.0005050929,0.000272512,0.001248871,0.0009118018,0.00003618116,0.00003962049],"category_scores_gemma":[0.0002582088,0.0001158767,0.00006959966,0.0001491045,0.00005619415,0.00701436,0.0004969102,0.000161239,0.00006282067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004554958,"about_ca_system_score_gemma":0.000008850131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002610612,"about_ca_topic_score_gemma":0.00003505716,"domain_scores_codex":[0.9987141,0.000005739335,0.0005914097,0.0001158129,0.0003449844,0.0002279776],"domain_scores_gemma":[0.9979672,0.00003195222,0.001198764,0.0005675388,0.000220682,0.0000137936],"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":[0.0001998898,0.00006106897,0.004296406,0.002059638,0.00006861301,0.00005047053,0.00002542789,0.0002607056,0.000005622531,0.9493198,0.01460406,0.02904831],"study_design_scores_gemma":[0.002007819,0.00002862515,0.03696201,0.003159646,0.0002265099,0.00001871844,0.00146521,0.02700042,0.00001829256,0.06453481,0.8640606,0.0005173391],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01926252,0.0002719934,0.9369221,0.005190654,0.005511883,0.001339763,0.0001121377,0.00004586234,0.03134304],"genre_scores_gemma":[0.969683,0.0002004422,0.02705728,0.001118063,0.001636831,0.00003497371,0.0001646621,0.00002045432,0.00008432088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9504204,"threshold_uncertainty_score":0.9997879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1698089416443115,"score_gpt":0.3527446974281869,"score_spread":0.1829357557838755,"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."}}