{"id":"W4328026285","doi":"10.5267/j.uscm.2023.1.001","title":"Exploring the effect of blockchain technology on supply chain resilience and transparency: Evidence from the healthcare industry","year":2023,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Transparency (behavior); Blockchain; Traceability; Business; Resilience (materials science); Supply chain management; Industrial organization; Marketing; Computer science; Computer security","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":[0.003009619,0.0006422907,0.0005972634,0.0009851606,0.0009280876,0.0002561414,0.001931409,0.0002116523,0.0001009642],"category_scores_gemma":[0.0003708578,0.0003888377,0.0001793995,0.00384473,0.0006210866,0.0004500436,0.001013727,0.0008705747,0.0001637477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001091483,"about_ca_system_score_gemma":0.00002568161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004354931,"about_ca_topic_score_gemma":0.000736699,"domain_scores_codex":[0.9955209,0.0002313601,0.0007980174,0.001168811,0.001199171,0.001081758],"domain_scores_gemma":[0.996491,0.001451381,0.0003894816,0.001523543,0.00009206957,0.00005249545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009148712,0.0001546127,0.5874385,0.002240491,0.0005318118,0.0004791292,0.003518617,0.04117628,0.000333688,0.05350686,0.02836731,0.2813378],"study_design_scores_gemma":[0.006581878,0.001697063,0.701444,0.01056195,0.001282867,0.00001122029,0.08233289,0.06855616,0.003213477,0.02174842,0.09913558,0.003434536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9181311,0.00104136,0.000133033,0.07605086,0.0007282498,0.002855106,0.00002786885,0.0004240253,0.0006083827],"genre_scores_gemma":[0.9932604,0.001676997,0.00006261658,0.002294661,0.0005911154,0.001382457,0.0000440665,0.00006716139,0.0006205004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2779033,"threshold_uncertainty_score":0.9998564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04259997089356361,"score_gpt":0.2694219129070477,"score_spread":0.2268219420134841,"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."}}