{"id":"W3123722958","doi":"10.1002/isaf.1424","title":"Toward an ontology‐driven blockchain design for supply‐chain provenance","year":2018,"lang":"en","type":"article","venue":"Intelligent systems in accounting, finance and management/Intelligent systems in accounting, finance & management","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":650,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Traceability; Blockchain; Provenance; Ontology; Computer science; Supply chain; Data science; Business; Computer security; Software engineering; Marketing","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":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.005882917,0.001371734,0.001690433,0.0005854717,0.0006372617,0.0008830396,0.002365903,0.0005989284,0.00005563376],"category_scores_gemma":[0.0001480539,0.0009429923,0.0003070666,0.001876845,0.0005258432,0.0008843211,0.0008484623,0.0006045923,0.0001416942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008147704,"about_ca_system_score_gemma":0.00003912276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004425375,"about_ca_topic_score_gemma":0.00441669,"domain_scores_codex":[0.9894153,0.000557236,0.0031319,0.003203847,0.001128577,0.00256317],"domain_scores_gemma":[0.9962987,0.0004478089,0.00159692,0.001043938,0.0004514197,0.0001611692],"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":[0.002808352,0.006657789,0.1786912,0.01506849,0.001049237,0.001156355,0.008386873,0.07489739,0.002571667,0.2601249,0.02323142,0.4253563],"study_design_scores_gemma":[0.003006508,0.003105578,0.05531408,0.008681879,0.0002712968,0.0001186646,0.01809276,0.1544358,0.001646699,0.005065164,0.7452784,0.004983185],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9355341,0.009483136,0.02109832,0.0008110865,0.006163782,0.0226576,0.0001795366,0.0005720333,0.003500423],"genre_scores_gemma":[0.9839599,0.004334346,0.00254011,0.0003335777,0.0009427517,0.00502468,0.0000955791,0.00005042672,0.002718685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.722047,"threshold_uncertainty_score":0.9999033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0337035481323331,"score_gpt":0.2613675005400396,"score_spread":0.2276639524077065,"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."}}