{"id":"W4386803125","doi":"10.23977/acss.2023.070709","title":"Design and Implementation of Blockchain-based Anti-Counterfeit Traceability System for Beef Cattle Products","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Traceability; Requirements traceability; Counterfeit; Computer science; Blockchain; Key (lock); Encryption; Code (set theory); Supply chain; Source code; Quality (philosophy); Fingerprint (computing); Database; Computer security; Software engineering; Business; Software; Operating system; Requirements analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.001436949,0.0001386011,0.0003436824,0.00002893067,0.00009041744,0.00004268223,0.0001141662,0.00005387639,0.000001895641],"category_scores_gemma":[0.00001624042,0.00006662895,0.00003176713,0.000315421,0.00006900274,0.00007309752,0.00003103366,0.00004319011,5.250397e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002569673,"about_ca_system_score_gemma":0.00001273873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001869092,"about_ca_topic_score_gemma":0.0001247661,"domain_scores_codex":[0.998516,0.0002175899,0.0004396955,0.0004325364,0.000161898,0.0002322729],"domain_scores_gemma":[0.9986855,0.0009194096,0.0001497387,0.00007768292,0.0001218236,0.00004577687],"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":[0.0003387722,0.0004368536,0.250423,0.008953965,0.00008136207,0.00001044481,0.002616691,0.3146563,0.1486724,0.0004117573,0.0003127572,0.2730856],"study_design_scores_gemma":[0.001736026,0.002548917,0.1689499,0.0005407971,0.00003217764,0.00001598549,0.003855714,0.7893963,0.03089925,0.0002809043,0.001103809,0.0006402245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932265,0.00165767,0.002822937,0.0002812509,0.0002852734,0.001560421,0.00008340689,0.00008106492,0.000001432107],"genre_scores_gemma":[0.9988565,0.00002425804,0.0008246276,0.000009972924,0.0001139967,0.0001471389,0.00001942247,0.000001668731,0.000002353962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.47474,"threshold_uncertainty_score":0.271705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02825831410464927,"score_gpt":0.2743061625540869,"score_spread":0.2460478484494376,"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."}}