{"id":"W4285518866","doi":"10.17705/2msqe.00050","title":"How Walmart Canada Used Blockchain Technology to Reimagine Freight Invoice Processing","year":2021,"lang":"en","type":"article","venue":"MIS Quarterly Executive","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Invoice; Business; Computer science; Commerce; Computer security; Accounting","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001597929,0.0002892996,0.0003613718,0.0002840587,0.0003537436,0.0001922046,0.001271737,0.0002375678,0.000007971681],"category_scores_gemma":[0.00006797147,0.0002991969,0.00005543703,0.002292128,0.0001258206,0.0001414077,0.0001769021,0.0004791409,0.00001185656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002146823,"about_ca_system_score_gemma":0.0008439579,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01174866,"about_ca_topic_score_gemma":0.2411585,"domain_scores_codex":[0.9977274,0.00007035609,0.0002939625,0.0009624066,0.0003378834,0.0006080166],"domain_scores_gemma":[0.9980816,0.00007133297,0.000132466,0.001053756,0.0004768502,0.0001840097],"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":[0.00001700741,0.0006475509,0.001861436,0.0001015494,0.00020205,0.001467612,0.01338844,0.00002347722,0.04029619,0.3521846,0.05826123,0.5315489],"study_design_scores_gemma":[0.001999792,0.0008688678,0.001764655,0.0002503062,0.00007163372,0.0008497693,0.01560611,0.03509339,0.2499557,0.06714118,0.6239098,0.002488755],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2504064,0.002135545,0.4640924,0.2784924,0.0004036519,0.0008823292,0.00004926618,0.001391486,0.002146568],"genre_scores_gemma":[0.9662001,0.000002422392,0.03035402,0.00176756,0.00005602439,0.0002011043,0.0000073235,0.00002055538,0.001390857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7157937,"threshold_uncertainty_score":0.999946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007101387523498617,"score_gpt":0.2208978433759915,"score_spread":0.2137964558524929,"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."}}