{"id":"W3188617871","doi":"10.4018/ijismd.2021070101","title":"Aligning Information Technology and Supply Chain","year":2021,"lang":"en","type":"article","venue":"International Journal of Information System Modeling and Design","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"COBIT; Supply chain; Computer science; Process management; Competitive advantage; Information technology; Corporate governance; Knowledge management; Control (management); Engineering; Business; Artificial intelligence","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":[0.0006199464,0.0001058877,0.0001695879,0.00106506,0.0001109817,0.0005754478,0.0001719887,0.0001207729,0.000007699906],"category_scores_gemma":[0.0002014843,0.0000953868,0.00003670997,0.0002736138,0.00002820912,0.008478728,0.00007809365,0.0001497933,0.00003739251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004923303,"about_ca_system_score_gemma":0.00007478192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001491278,"about_ca_topic_score_gemma":5.2864e-7,"domain_scores_codex":[0.998659,0.000008303075,0.0008189236,0.0000477551,0.0003515756,0.0001144034],"domain_scores_gemma":[0.9974408,0.00001960915,0.0008013579,0.00007187751,0.001653443,0.00001289987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002533472,0.00002072108,0.003376081,0.000379159,0.0002253899,0.00004344546,0.001502676,0.05005395,0.0002019338,0.8292276,0.002105255,0.1126105],"study_design_scores_gemma":[0.001947188,0.00003249489,0.0002459363,0.0005191707,0.00003828653,0.001342323,0.0147294,0.9604399,0.0006214392,0.00640164,0.01343086,0.0002513338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09497403,0.0001622765,0.8973921,0.002016914,0.0006422473,0.0001012603,0.00000474735,0.00008971908,0.004616708],"genre_scores_gemma":[0.9940636,0.00006457401,0.004759585,0.0009093037,0.0001696421,0.000004619653,0.00001620601,0.000003546155,0.000008981824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.910386,"threshold_uncertainty_score":0.6146873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316862177495305,"score_gpt":0.2116771398637834,"score_spread":0.1985085180888304,"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."}}