{"id":"W3035698904","doi":"10.5539/cis.v13n3p30","title":"Digital Transformation for Sustainability: A Qualitative Analysis","year":2020,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital transformation; Sustainability; Scarcity; Computer science; Leverage (statistics); Cloud computing; Big data; Business model; Competition (biology); Knowledge management; Data science; Business; Marketing; Artificial intelligence; 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":[0.008551657,0.0002907185,0.0003644351,0.00311323,0.005442583,0.004758579,0.0009066711,0.001284412,0.008046532],"category_scores_gemma":[0.0129187,0.0003025393,0.0003572575,0.004128268,0.006589488,0.003505872,0.00328556,0.001544117,0.0005164829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009723901,"about_ca_system_score_gemma":0.00728319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01252712,"about_ca_topic_score_gemma":0.01590051,"domain_scores_codex":[0.9953258,0.003113325,0.0001177274,0.0002147569,0.0006879854,0.0005404333],"domain_scores_gemma":[0.986318,0.01059436,0.0005293096,0.000262358,0.001826388,0.0004695633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007377542,0.00009829403,0.005281444,0.0006060061,0.00000623006,0.001161629,0.899516,0.0004081304,0.001717466,0.06453605,0.004030958,0.02256386],"study_design_scores_gemma":[0.000005016195,0.00002312799,0.001559425,0.0003280577,0.000003179209,0.0001453,0.9568405,0.0003222316,0.0005808765,0.005529998,0.03465047,0.00001186443],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8526813,0.001074563,0.02439769,0.01406571,0.0002381821,0.00255323,0.003296916,0.00006141468,0.1016311],"genre_scores_gemma":[0.9750516,0.00110882,0.007255873,0.001576192,0.0000221335,0.001480118,0.0005063572,0.00003958394,0.01295939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01252712,"threshold_uncertainty_score":0.07055217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06078656740806608,"score_gpt":0.3370357368247665,"score_spread":0.2762491694167004,"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."}}