{"id":"W4395049503","doi":"10.1111/isj.12519","title":"Assessing digital capabilities for digital transformation—The <scp>MIND</scp> framework","year":2024,"lang":"en","type":"article","venue":"Information Systems Journal","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Ny Carlsbergfondet","keywords":"Digital transformation; Relation (database); Transformation (genetics); Knowledge management; Process (computing); Computer science; Process management; Engineering; World Wide Web","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":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.000556942,0.0002660404,0.0002230223,0.0003476379,0.0003309585,0.0248757,0.0003092483,0.0002363455,0.00001363542],"category_scores_gemma":[0.0002576189,0.0002024072,0.0002251478,0.0003850127,0.00007576119,0.04519089,0.00001072367,0.0007046805,0.0004094198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002637126,"about_ca_system_score_gemma":0.0001341805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.34833e-7,"about_ca_topic_score_gemma":8.51768e-8,"domain_scores_codex":[0.9975702,0.0000146555,0.001318348,0.00007907988,0.0005965481,0.0004211866],"domain_scores_gemma":[0.99843,0.0008406816,0.0001282831,0.0001791549,0.0002649904,0.0001569016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008254027,0.00004103169,0.0002808824,0.005915431,0.0008162477,0.000009793495,0.09483115,0.4317003,0.00002325416,0.07325626,0.06030329,0.3328141],"study_design_scores_gemma":[0.0002827098,0.00003847369,0.00005553602,0.0009761567,0.00002645313,0.001113258,0.0504055,0.08938507,0.0001131985,0.002226688,0.8552202,0.0001567492],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04693537,0.0005281019,0.7941918,0.0001684743,0.005228109,0.0007018122,0.0004877632,0.0006117476,0.1511468],"genre_scores_gemma":[0.9986146,0.00001855955,0.0001963215,0.00003240431,0.0006716393,0.00009827306,0.0001182551,0.00003684574,0.000213107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9516792,"threshold_uncertainty_score":0.9761366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098935186071086,"score_gpt":0.2558454232338319,"score_spread":0.234856071373121,"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."}}