{"id":"W4402227584","doi":"10.1080/00207543.2024.2384171","title":"Special issue on service-oriented manufacturing supply chain management in Industry 4.0","year":2024,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Supply chain; Supply chain management; Manufacturing engineering; Service management; Business; Service (business); Process management; Manufacturing; Engineering; Computer science; Operations management; Engineering management; Marketing","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":[],"consensus_categories":[],"category_scores_codex":[0.001001553,0.0001027258,0.00009621451,0.001572847,0.00002733577,0.0002085823,0.0003521107,0.0001189785,0.0007973192],"category_scores_gemma":[0.00004178102,0.00009956452,0.00004593519,0.0005021236,0.00003089773,0.000700506,0.00004006181,0.001613103,0.0002725172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005702995,"about_ca_system_score_gemma":0.00004086786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005490313,"about_ca_topic_score_gemma":0.000006500571,"domain_scores_codex":[0.9978825,0.00004668076,0.0004532897,0.0001472622,0.001250297,0.0002199313],"domain_scores_gemma":[0.9994305,0.00005047791,0.00002820862,0.000108346,0.0003122462,0.0000702549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003122319,0.0002718231,0.0003845927,0.0004557604,0.0006531533,0.001292437,0.002443429,0.1964359,0.0005930658,0.007495575,0.2816939,0.5079681],"study_design_scores_gemma":[0.0004662071,0.00006724184,0.002481484,0.001096988,0.00000548158,0.0002349812,0.001829298,0.001327958,0.03169973,0.001059431,0.9595751,0.0001561676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6878468,0.0001266332,0.0001911153,0.02147495,0.03067975,0.0004479162,0.0000266194,0.0001465448,0.2590597],"genre_scores_gemma":[0.9725202,0.0002205258,0.0002172092,0.00005472494,0.02284381,0.00001879064,0.0000102084,0.00003627906,0.004078217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6778811,"threshold_uncertainty_score":0.8730085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0450656200403983,"score_gpt":0.3483623110245394,"score_spread":0.303296690984141,"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."}}