{"id":"W3009557578","doi":"10.18034/gdeb.v8i2.100","title":"Impact of Management Information Systems (MIS) on Decision Making","year":2019,"lang":"en","type":"article","venue":"Global Disclosure of Economics and Business","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"La Cité Collégiale","funders":"","keywords":"Computer science; Management information systems; Process (computing); Quality (philosophy); Information system; Knowledge management; Decision support system; Business decision mapping; Process management; Information quality; Information technology; Decision maker; Business process; Risk analysis (engineering); Management science; Business; Engineering; Marketing; Work in process; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001747809,0.0001875431,0.0003126239,0.0002304615,0.00004253881,0.0002171863,0.0002604972,0.0000769129,0.00006821789],"category_scores_gemma":[0.00002161301,0.0001493818,0.00008221845,0.0004750521,0.00004744773,0.001675185,0.0001741672,0.00003840616,0.000104698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004863662,"about_ca_system_score_gemma":0.00001961995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003763494,"about_ca_topic_score_gemma":0.00001597708,"domain_scores_codex":[0.9990273,0.000002949249,0.0004831994,0.0001975155,0.0001107408,0.000178291],"domain_scores_gemma":[0.9989306,0.0000188803,0.0004915293,0.0003094116,0.0002394671,0.00001006294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007240501,0.0001909062,0.2959325,0.00204135,0.0001759986,0.000001544886,0.00001343988,0.05795632,0.000009070867,0.5219146,0.001375777,0.1196644],"study_design_scores_gemma":[0.0009197844,0.00004110521,0.959249,0.000925501,0.00007723957,0.000005539317,0.0001465172,0.01501219,0.000004103998,0.004541998,0.01870088,0.0003761976],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593786,0.00009923545,0.0006098302,0.00003286111,0.0006958912,0.0003042855,0.0001078994,0.00001415502,0.03875724],"genre_scores_gemma":[0.999472,0.0001621542,0.00009896497,0.00006126313,0.0001038745,0.000003895571,0.00007541203,0.00000773163,0.00001475269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6633164,"threshold_uncertainty_score":0.6091613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191804632923954,"score_gpt":0.2590269349435204,"score_spread":0.239846471651125,"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."}}