{"id":"W4399253203","doi":"10.2139/ssrn.4851187","title":"Promoting Digital Transformation: Strategic Policy Insights from a Network Effects Model","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"University-Industry-Government Innovation Models","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Transformation (genetics); Digital transformation; Business; Process management; Computer science; Chemistry; 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":[0.002691032,0.001180002,0.001054469,0.002102909,0.001689991,0.005510813,0.001702413,0.004080504,0.02741653],"category_scores_gemma":[0.009505815,0.0005035858,0.001036173,0.002307897,0.004254569,0.01002592,0.00287341,0.002598206,0.001212768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004378423,"about_ca_system_score_gemma":0.003191148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006785206,"about_ca_topic_score_gemma":0.008926671,"domain_scores_codex":[0.9983878,0.0008540554,0.00003588168,0.0001925722,0.0002213653,0.0003083734],"domain_scores_gemma":[0.9923311,0.005846158,0.0005945651,0.000283645,0.0003832421,0.0005612418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004653371,0.00007861732,0.0004678245,0.00006461354,0.00001871065,0.00006423397,0.0001898296,0.04537213,0.000157265,0.947516,0.001409595,0.004614674],"study_design_scores_gemma":[0.00009338292,0.0000603731,0.0005301781,0.00006505441,0.00005982335,0.00006212664,0.0006420689,0.1214034,0.0002471872,0.8694806,0.007329892,0.00002604521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.11854,0.001158781,0.268175,0.02712847,0.0002736965,0.0002963234,0.0005250692,0.0001856822,0.5837169],"genre_scores_gemma":[0.9678412,0.001500925,0.007058132,0.0003952583,0.0001222325,0.0001676485,0.00005300171,0.0000424743,0.02281916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02741653,"threshold_uncertainty_score":0.09171742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495618835505784,"score_gpt":0.21790249057627,"score_spread":0.2029463022212122,"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."}}