{"id":"W4360776679","doi":"10.5267/j.ijdns.2023.2.006","title":"The role of quality 4.0 in supporting digital transformation: Evidence from telecommunication industry","year":2023,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital transformation; Quality (philosophy); Knowledge management; Orange (colour); Sample (material); Business; Test (biology); Computer science; Telecommunications; Process management; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002491778,0.00004570486,0.0000803435,0.0000957427,0.0001348542,0.0003071197,0.003555502,0.00002604184,0.000002341993],"category_scores_gemma":[0.0004229642,0.00003251303,0.00001349287,0.0008702573,0.0001662877,0.005473841,0.0007117644,0.0001820757,0.00000273234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002481324,"about_ca_system_score_gemma":0.0002403856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002953127,"about_ca_topic_score_gemma":0.0000183937,"domain_scores_codex":[0.9985792,0.00003214554,0.0005115234,0.000121275,0.0006245652,0.0001313064],"domain_scores_gemma":[0.9984963,0.0004814362,0.0003576262,0.00030608,0.000315343,0.00004319519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004654362,0.00004203925,0.4327874,0.000004598357,0.00002788044,0.000004829986,0.002556814,0.004162938,0.001757744,0.01223968,0.0003935644,0.5459759],"study_design_scores_gemma":[0.0002965776,0.00005349236,0.7338113,0.0003099829,0.000003729727,0.00004498735,0.0006243347,0.2286215,0.002092901,0.02959429,0.00441178,0.0001351239],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819086,0.0005114994,0.01144483,0.005553885,0.0003640689,0.00003981506,0.00002369378,0.00001116586,0.0001424294],"genre_scores_gemma":[0.997122,0.0007854898,0.00190952,0.00004567033,0.0001203878,3.974093e-7,0.000009968985,0.000001496299,0.000005078051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5458408,"threshold_uncertainty_score":0.6607067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05332429861442869,"score_gpt":0.3519492955507118,"score_spread":0.2986249969362831,"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."}}