{"id":"W4392372216","doi":"10.20944/preprints202402.1571.v1","title":"Digital Traceability in Agri-Food Supply Chains: A Comparative Analysis of OECD Member Countries","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto; Dalhousie University","funders":"","keywords":"Traceability; Business; Supply chain; Food supply; Member states; Industrial organization; Commerce; International trade; Agricultural science; Computer science; European union; Environmental science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005381902,0.0002903701,0.0003146608,0.006858394,0.001262723,0.005107336,0.0004572767,0.0005791059,0.00153614],"category_scores_gemma":[0.0132608,0.0001756203,0.0003780785,0.01870181,0.001632852,0.002707175,0.002160645,0.0003695296,0.0001854261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004178346,"about_ca_system_score_gemma":0.002725177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03832972,"about_ca_topic_score_gemma":0.02481716,"domain_scores_codex":[0.9967138,0.001309559,0.0002815737,0.0002756976,0.0008541509,0.000565258],"domain_scores_gemma":[0.9871682,0.005831275,0.003017692,0.0008628255,0.002782827,0.0003372504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000530801,0.0002094436,0.79419,0.001368452,0.0002862984,0.002343743,0.02557609,0.007567969,0.001105009,0.02495028,0.002408895,0.1394629],"study_design_scores_gemma":[0.00003200088,0.0003494794,0.7942761,0.001701675,0.0002986976,0.0008167061,0.1214156,0.002171241,0.002136806,0.002933602,0.07378811,0.00007999469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760855,0.00292699,0.0008861988,0.0003482981,0.00001544649,0.00005193699,0.0006558157,0.00001920518,0.01901054],"genre_scores_gemma":[0.9957368,0.002484,0.0005295979,0.00006674625,0.000004142975,0.0000259035,0.0005957763,0.000009641456,0.0005473617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03832972,"threshold_uncertainty_score":0.07621324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1225554714549197,"score_gpt":0.3310063241809791,"score_spread":0.2084508527260594,"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."}}