{"id":"W4411717235","doi":"10.47941/ijce.2841","title":"The Influence of Block Chain-Enabled Supply Chain Systems on Transaction Transparency in Multinational Corporations in Canada","year":2025,"lang":"en","type":"article","venue":"International Journal of Computing and Engineering","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Multinational corporation; Transparency (behavior); Business; Supply chain; Database transaction; Chain (unit); Industrial organization; Block (permutation group theory); Commerce; Computer science; Computer security; Marketing; Finance; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004185476,0.00007676757,0.0001236312,0.0004378842,0.00004330442,0.00006833519,0.0002026566,0.00001825168,9.194341e-7],"category_scores_gemma":[0.00007820954,0.00006191427,0.00002472572,0.0002611374,0.00001219161,0.0001763528,0.00001659556,0.0001443662,1.585892e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001483762,"about_ca_system_score_gemma":0.00009954046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06292524,"about_ca_topic_score_gemma":0.03650247,"domain_scores_codex":[0.9990554,0.00000843949,0.000469191,0.0000755027,0.0002840953,0.0001073933],"domain_scores_gemma":[0.9993997,0.0001823664,0.0001940982,0.00004219884,0.0001749249,0.000006724288],"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":[0.00002429922,0.00002046849,0.03595569,0.00004668223,0.00002406677,0.0000136356,0.00007538585,0.9566499,0.0001503268,0.005214998,0.00002673831,0.001797795],"study_design_scores_gemma":[0.0006443436,0.000007158147,0.3605991,0.0007189148,0.000007003707,0.000004193772,0.0005191343,0.6364577,0.00003265494,0.0001047842,0.0008368574,0.00006808772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952967,0.0001292745,0.002643864,0.0009800177,0.0007250945,0.00008835459,0.000001024638,0.000004653511,0.0001310423],"genre_scores_gemma":[0.999697,0.00005598545,0.00004165065,0.00007278609,0.0001106779,0.00000234645,0.000001403559,0.000003763074,0.00001439187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3246434,"threshold_uncertainty_score":0.9810789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004264133737077454,"score_gpt":0.2013776818603749,"score_spread":0.1971135481232974,"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."}}