{"id":"W2941342560","doi":"10.1111/glob.12237","title":"Traceability in global governance","year":2019,"lang":"en","type":"article","venue":"Global Networks","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Traceability; Corporate governance; Business; Risk analysis (engineering); Object (grammar); Requirements traceability; Key (lock); Politics; Environmental resource management; Computer science; Process management; Industrial organization; Computer security; Political science; Economics; Finance; 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":[0.0003584323,0.0001703268,0.0002355957,8.642069e-7,0.00004156374,0.00004033439,0.0003772266,0.0001864677,0.0007471005],"category_scores_gemma":[0.00004745798,0.00007299152,0.0001096189,0.0006998958,0.00006490004,0.0001371126,0.0001024249,0.0001640592,0.0001433577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003451337,"about_ca_system_score_gemma":0.00001102016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001262056,"about_ca_topic_score_gemma":0.01080464,"domain_scores_codex":[0.9983624,0.0001193763,0.0002713711,0.000508686,0.0002410618,0.0004971077],"domain_scores_gemma":[0.9995545,0.00009677564,0.00006741496,0.0001397401,0.00003274066,0.0001088302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000710025,0.0001356167,0.9277598,0.000003920748,0.000003652987,0.000003950201,0.000003786806,0.001794777,0.00003258387,0.001126006,0.000849168,0.06821576],"study_design_scores_gemma":[0.0001912475,0.0001261552,0.9884336,0.00001275526,0.000002080381,0.000004955371,0.00003830473,0.004107823,0.000002366484,0.002184423,0.004723954,0.0001723409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876899,0.000604669,0.000005139427,0.001249446,0.0004365208,0.0003914692,0.0001280418,0.0001235209,0.009371333],"genre_scores_gemma":[0.9993986,0.00001811371,0.00007121418,0.0002780397,0.0001489347,0.000009446285,0.00002368884,3.975528e-7,0.0000514897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06804342,"threshold_uncertainty_score":0.8180226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005304397917159665,"score_gpt":0.2009398851319932,"score_spread":0.1956354872148335,"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."}}