{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008149489,0.001085948,0.0004092234,0.009570376,0.002554363,0.007845207,0.001136677,0.00179062,0.005124699],"category_scores_gemma":[0.0138229,0.0003641265,0.001236512,0.004276137,0.01027982,0.006445036,0.006872989,0.002596871,0.0005257624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00618464,"about_ca_system_score_gemma":0.008044352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009027844,"about_ca_topic_score_gemma":0.01160866,"domain_scores_codex":[0.9931908,0.00424859,0.0003371826,0.0003757251,0.001424477,0.0004232127],"domain_scores_gemma":[0.9844937,0.009086271,0.001502333,0.0008574226,0.00282349,0.001236771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004911734,0.0001666681,0.01559176,0.0008913289,0.00006721578,0.0003835809,0.008414323,0.01217299,0.001924705,0.8565262,0.004995915,0.09881614],"study_design_scores_gemma":[0.00003738153,0.0004185761,0.02176676,0.00358168,0.00009330524,0.0007860062,0.04113809,0.0362615,0.004103261,0.7857413,0.1059098,0.000162408],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1546476,0.003013934,0.4464015,0.01921481,0.0002169229,0.001579223,0.00117534,0.0004495835,0.3733011],"genre_scores_gemma":[0.7998126,0.0007838641,0.1942715,0.000522371,0.00002520113,0.0006444875,0.0003065983,0.00003186925,0.00360144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009570376,"threshold_uncertainty_score":0.04487288,"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."}}