{"id":"W3124510538","doi":"10.1111/poms.13348","title":"Blockchain Adoption for Combating Deceptive Counterfeits","year":2021,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":462,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Counterfeit; Blockchain; Government (linguistics); Product (mathematics); Business; Enforcement; Quality (philosophy); Subsidy; Marketing; Regret; Computer security; Economics; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002275224,0.00007184004,0.00006931942,0.00007746661,0.0004590872,0.0001160342,0.0001238712,0.00003421745,0.000006462427],"category_scores_gemma":[0.00003768822,0.00007505417,0.00001980179,0.0003017368,0.000032452,0.000108516,0.0001320311,0.00005636806,0.000006145799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000249395,"about_ca_system_score_gemma":0.00001380003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002353443,"about_ca_topic_score_gemma":0.00004790714,"domain_scores_codex":[0.9992673,0.00002412405,0.0001420856,0.0003825887,0.00007452953,0.0001093251],"domain_scores_gemma":[0.9994197,0.00001075649,0.00002587662,0.000324536,0.0001946795,0.00002441581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001623609,0.0001097288,0.00004649295,0.00002783006,0.00002720647,8.096645e-7,0.0004277267,0.001410813,0.0005525552,0.9363973,0.001069196,0.05992879],"study_design_scores_gemma":[0.001336517,0.0002001268,0.003332119,0.0001077996,0.0001051272,0.0001134552,0.003977377,0.7849366,0.03483044,0.04192882,0.1283061,0.0008254777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02615297,0.0002365038,0.9567989,0.01493361,0.0002602931,0.0005658068,0.000002481446,0.0001825394,0.0008669273],"genre_scores_gemma":[0.7909579,0.000156885,0.2062223,0.0003531628,0.00006102741,0.0004506682,0.00001364538,0.000004840812,0.001779614],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8944684,"threshold_uncertainty_score":0.3530974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351661394206303,"score_gpt":0.2496239493197831,"score_spread":0.2361073353777201,"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."}}