{"id":"W4414488125","doi":"10.18280/ijsdp.200801","title":"Digital Twin Integration in Field Service Management: A Hybrid Systematic Literature Review and Bibliometric Analysis (2017-2024)","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Systematic review; Service (business); Bibliometrics; Scientific literature","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"not_applicable","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0003510081,0.0001100855,0.0002497724,0.02139973,0.00002640291,0.0004826306,0.0001602795,0.00003931479,0.000007817023],"category_scores_gemma":[0.00009427885,0.00009741752,0.00003222528,0.01483626,0.000004944802,0.001101163,0.00004017493,0.0001904067,9.525786e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001069674,"about_ca_system_score_gemma":0.00002410856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.548202e-7,"about_ca_topic_score_gemma":5.260177e-7,"domain_scores_codex":[0.9990112,0.0000109524,0.0005574189,0.00007558999,0.0002240098,0.0001208086],"domain_scores_gemma":[0.9993483,0.0001005438,0.00009923818,0.0000442565,0.0003704939,0.00003715646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002728701,0.0002554776,0.06403317,0.477849,0.01728716,0.01525253,0.01915253,0.03023855,0.000009392403,0.008557604,0.02448827,0.3426034],"study_design_scores_gemma":[0.00638388,0.0001609784,0.1406019,0.633907,0.003691432,0.002074501,0.1092762,0.0257723,0.0009578999,0.002806159,0.07182886,0.002538967],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5440962,0.176274,0.07232379,0.001978387,0.001288152,0.001351284,0.00002846306,0.0001127005,0.2025471],"genre_scores_gemma":[0.9893742,0.007769881,0.0006525299,0.0003511637,0.00002204509,0.00001740003,0.00003624459,0.00000665477,0.001769934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.445278,"threshold_uncertainty_score":0.9896919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009056725453668492,"score_gpt":0.2479909414060168,"score_spread":0.2389342159523483,"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."}}