{"id":"W4312184735","doi":"10.5267/j.uscm.2022.9.003","title":"The effect of digital supply chain on lean manufacturing: A structural equation modelling approach","year":2022,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":169,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Structural equation modeling; Lean manufacturing; Business; Manufacturing engineering; Profit (economics); Supply chain management; Data collection; Manufacturing; Process management; Digital manufacturing; Operations management; Computer science; Marketing; Engineering; Economics; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005689707,0.0003237382,0.0002389229,0.0002365069,0.0003567284,0.0001855493,0.00054459,0.00005357802,0.0000690115],"category_scores_gemma":[0.00000753693,0.000265328,0.0001416635,0.0002643629,0.00006388556,0.0002802122,0.0001388847,0.0003881772,0.00001304491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003561072,"about_ca_system_score_gemma":0.000006940782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009302504,"about_ca_topic_score_gemma":6.135539e-7,"domain_scores_codex":[0.9979156,0.00006719383,0.0004819573,0.0002878354,0.0007806493,0.0004667538],"domain_scores_gemma":[0.9991388,0.0002402446,0.00008697126,0.0004499656,0.00001373823,0.00007023026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008163346,0.00001519806,0.0002009855,0.0002465975,0.0001224174,0.00000563178,0.0004241029,0.9713724,0.000003919586,0.008169556,0.0007807801,0.01857682],"study_design_scores_gemma":[0.0009997057,0.000312715,0.00007822736,0.00003697343,0.00003377313,0.000005745605,0.002388004,0.9836358,0.001559483,0.002021322,0.008558895,0.0003693933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6830834,0.0002274624,0.1248986,0.000584049,0.001532099,0.004694011,0.0004728508,0.0009699307,0.1835375],"genre_scores_gemma":[0.997693,0.00001526516,0.0002684058,0.00002414246,0.00006070901,0.0004328023,0.0003024659,0.00005874198,0.001144465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3146096,"threshold_uncertainty_score":0.9999799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718757168245965,"score_gpt":0.2125979489244389,"score_spread":0.1954103772419792,"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."}}