{"id":"W4394912332","doi":"10.5267/j.ijdns.2024.2.009","title":"Digital transformation and the challenges associated with applying digital technologies in achieving strategic flexibility in public administration: a case study in Jordan","year":2024,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); Administration (probate law); Digital transformation; Transformation (genetics); Business; Political science; Knowledge management; Computer science; Public administration; Process management; Management; Economics; World Wide Web","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":[0.003390415,0.00046779,0.0003396371,0.001216594,0.01187399,0.005156596,0.001500638,0.002464854,0.002251395],"category_scores_gemma":[0.004051255,0.0003952209,0.0003894917,0.002122739,0.005251351,0.003334932,0.004584456,0.00246285,0.0004145168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007046115,"about_ca_system_score_gemma":0.008180869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01541549,"about_ca_topic_score_gemma":0.03964733,"domain_scores_codex":[0.9967765,0.001752179,0.0001073071,0.0001629134,0.0003781192,0.0008229454],"domain_scores_gemma":[0.9963906,0.001161026,0.0006530124,0.0001889674,0.0005349495,0.001071329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"case_report","study_design_scores_codex":[0.0001380337,0.001629401,0.06581733,0.0004097019,0.00002926475,0.04960234,0.8223197,0.002105779,0.002287841,0.0149755,0.00383066,0.03685446],"study_design_scores_gemma":[0.000006234042,0.0001493852,0.00747639,0.00009109431,0.00000761198,0.002256681,0.9703481,0.0007012221,0.0005673862,0.000747155,0.01762787,0.00002082289],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933804,0.0001628888,0.0005094337,0.001104077,0.000009604194,0.00005839486,0.00001199518,0.000006725217,0.004756426],"genre_scores_gemma":[0.9962536,0.0004307851,0.0006373684,0.0002513654,0.00001135033,0.00002721004,0.00001141347,0.000007500501,0.00236926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01541549,"threshold_uncertainty_score":0.05112338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06712288831508259,"score_gpt":0.3075498362293191,"score_spread":0.2404269479142365,"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."}}