{"id":"W4394895962","doi":"10.5267/j.uscm.2024.3.005","title":"Exploring the key enabling role of digital technology for enhancing supply chain performance through supply chain collaboration, inventory management and supply chain resilience","year":2024,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Business; Key (lock); Process management; Supply chain management; Resilience (materials science); Supply chain risk management; Service management; Chain (unit); Operations management; Computer science; Marketing; Computer security; Engineering","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","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002687782,0.001261619,0.001035302,0.002576986,0.00134624,0.001784176,0.00202991,0.0002544419,0.0001545704],"category_scores_gemma":[0.0001765137,0.001074117,0.0003644197,0.004646811,0.0007698897,0.004244254,0.001982197,0.0006056007,0.0001102039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004914605,"about_ca_system_score_gemma":0.0001051203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003897142,"about_ca_topic_score_gemma":0.0004656308,"domain_scores_codex":[0.9921256,0.00009544968,0.001842048,0.002252687,0.001618271,0.00206593],"domain_scores_gemma":[0.996849,0.000374856,0.0006541552,0.001619004,0.0003923737,0.0001105874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009088842,0.0009011479,0.0529146,0.01574016,0.001907663,0.0004532102,0.01411991,0.02655007,0.001415657,0.6176227,0.02066724,0.2467987],"study_design_scores_gemma":[0.00359637,0.0004418106,0.004867986,0.003630396,0.0008859345,0.00002229901,0.1422101,0.108544,0.002601973,0.02766791,0.7027725,0.002758754],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8949795,0.01530086,0.01781279,0.03014836,0.004437445,0.01759086,0.0002825042,0.002127621,0.01732001],"genre_scores_gemma":[0.9788977,0.006882571,0.002010996,0.001213591,0.001153883,0.003927522,0.0003596875,0.0002325189,0.005321556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6821052,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852478558521749,"score_gpt":0.2356846056940489,"score_spread":0.2171598201088314,"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."}}