{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005226804,0.0005362298,0.0004352766,0.0005675267,0.0004081555,0.002368112,0.000717262,0.0006283869,0.00002070998],"category_scores_gemma":[0.00003000123,0.0005225359,0.000281504,0.0008442134,0.00004057591,0.001945767,0.0006769289,0.008874916,0.0001451862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002185344,"about_ca_system_score_gemma":0.003089718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002143799,"about_ca_topic_score_gemma":0.0001787148,"domain_scores_codex":[0.9961502,0.0000214548,0.0006233826,0.0005170265,0.0008057136,0.001882249],"domain_scores_gemma":[0.9987524,0.00003214463,0.0006636832,0.0002978058,0.0002176443,0.00003636259],"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":[0.00004811279,0.00007790533,0.0001098536,0.0003122133,0.0005776995,0.00002515639,0.0003774917,0.05219129,0.00004693045,0.941027,0.0002402239,0.00496609],"study_design_scores_gemma":[0.0004414329,0.00001725326,0.0000135831,0.0004044264,0.0001736501,0.00001287994,0.0004706785,0.2530122,0.000005823051,0.7445787,0.0004845559,0.00038486],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9041623,0.001451828,0.02985837,0.004298245,0.0009784157,0.000834981,0.00002717584,0.0003879876,0.05800073],"genre_scores_gemma":[0.9907359,0.000147322,0.00006458376,0.0005423321,0.007372229,0.00001101036,0.0001926973,0.00008644366,0.0008475028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2008209,"threshold_uncertainty_score":0.9997226,"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."}}