{"id":"W7015686993","doi":"","title":"Unravelling the servitization transformation: the roles of digital technology and government policy","year":2023,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Service and Product Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Government (linguistics); Public policy; Digital government; Work (physics); Process (computing); Key (lock); Technology policy; Product (mathematics); Information technology","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":[0.007898103,0.0004045258,0.0007016183,0.002193774,0.004751942,0.02890288,0.001615803,0.005865708,0.02427778],"category_scores_gemma":[0.01110294,0.0004323229,0.0005058928,0.004274696,0.03213041,0.03324537,0.005793717,0.006993986,0.001737466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01970074,"about_ca_system_score_gemma":0.02834145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06381074,"about_ca_topic_score_gemma":0.05902013,"domain_scores_codex":[0.9951321,0.002875636,0.00008685011,0.0002982537,0.0006102605,0.0009969934],"domain_scores_gemma":[0.9873509,0.009129899,0.0006219525,0.0009141944,0.0009930948,0.0009900214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001898583,0.00002269418,0.0005487197,0.00006109812,0.000003216498,0.0000348744,0.003543796,0.0004446234,0.00009831155,0.9767543,0.00459355,0.01387584],"study_design_scores_gemma":[0.00001130669,0.00001368364,0.002264056,0.0003355623,0.000008289736,0.0000481913,0.02439247,0.002522841,0.0003214125,0.8112459,0.1588134,0.0000230477],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1093065,0.01643886,0.01663627,0.3605162,0.001062968,0.00004130517,0.0002674673,0.0002010021,0.4955293],"genre_scores_gemma":[0.968821,0.007148905,0.002679554,0.004628136,0.0003149511,0.00002885451,0.00006146384,0.0001054266,0.01621164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06381074,"threshold_uncertainty_score":0.1429395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990507126124449,"score_gpt":0.2511817552262114,"score_spread":0.231276683964967,"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."}}