{"id":"W4391060543","doi":"10.5267/j.uscm.2023.11.015","title":"The dynamic role of business intelligence in developing effective planning strategies through analyzing data as an influential variable: Case of engineering the pharmaceutical sector in Jordan","year":2024,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business intelligence; Context (archaeology); Knowledge management; Computer science; Process management; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003913651,0.0003377098,0.0002529286,0.00179456,0.003765144,0.005966166,0.0009556231,0.001890571,0.00205015],"category_scores_gemma":[0.005495693,0.0002911035,0.0003779198,0.002668063,0.002876388,0.002724129,0.002646031,0.001645228,0.0002451415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003691229,"about_ca_system_score_gemma":0.006753918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01231319,"about_ca_topic_score_gemma":0.01948866,"domain_scores_codex":[0.9978517,0.001240063,0.00007692326,0.0001388227,0.0003165147,0.0003759576],"domain_scores_gemma":[0.9942989,0.003917183,0.0006123416,0.0002174372,0.0004855162,0.000468559],"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":[0.0005191204,0.001965936,0.1919608,0.0006392845,0.0002043812,0.06552567,0.088493,0.1617732,0.005125054,0.3054283,0.007217983,0.1711471],"study_design_scores_gemma":[0.0001362549,0.000520223,0.04568264,0.0004953098,0.0001554754,0.004063795,0.3072762,0.4085987,0.008798347,0.1398527,0.08423262,0.0001876495],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9390644,0.0003313881,0.01398527,0.00587098,0.00001388069,0.0001518468,0.00006632534,0.0000313426,0.04048459],"genre_scores_gemma":[0.9916898,0.0002999991,0.006080504,0.0001177064,0.000006344686,0.00002258489,0.00003202091,0.000007814008,0.001743263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01231319,"threshold_uncertainty_score":0.02678186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03928933233530213,"score_gpt":0.332675659827421,"score_spread":0.2933863274921188,"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."}}