{"id":"W3212344365","doi":"","title":"Information Engineering: Conceptual Elements Related Information Management and Information Systems","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"First Nations University of Canada; University of Regina","funders":"","keywords":"Computer science; Information system; Information engineering; Knowledge management; Management information systems; Information management; Competitive advantage; Data science; Information integration; Personal information management; Strategic information system; Information flow; Management science; Data mining; Engineering; Business","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":[0.006278974,0.001468655,0.001204066,0.01047964,0.003033826,0.01972913,0.001914547,0.004642738,0.005892487],"category_scores_gemma":[0.01062157,0.0007296643,0.001038982,0.0157282,0.02685762,0.022331,0.004958837,0.00608827,0.001899776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008223325,"about_ca_system_score_gemma":0.007334205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00316971,"about_ca_topic_score_gemma":0.001333147,"domain_scores_codex":[0.9884052,0.00634591,0.001083942,0.001173834,0.00255478,0.0004364611],"domain_scores_gemma":[0.9877455,0.007794957,0.00102541,0.001605777,0.001381995,0.000446482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003498158,0.00001483459,0.000153842,0.0002698055,0.000008111107,0.00005483539,0.001140618,0.0003473247,0.00009567657,0.9869806,0.002434166,0.008496725],"study_design_scores_gemma":[0.000005841881,0.00002564764,0.000306629,0.0006517596,0.00001633405,0.0003048053,0.001589564,0.00105681,0.0001622609,0.7743714,0.2214907,0.00001817462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009980495,0.1452867,0.4129993,0.06563155,0.003681818,0.001036385,0.00109024,0.0005187515,0.3597749],"genre_scores_gemma":[0.476726,0.132138,0.3129906,0.01448743,0.008117347,0.003509138,0.001986909,0.0003900325,0.04965448],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01972913,"threshold_uncertainty_score":0.05966467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008580077945054582,"score_gpt":0.2011343817328486,"score_spread":0.192554303787794,"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."}}