{"id":"W4249159013","doi":"10.24006/jilt.2018.16.2.57","title":"The Great Canadian Grain Logistics Crisis of 2013-14 and Its Aftermath","year":2018,"lang":"en","type":"article","venue":"Journal of International Logistics and Trade","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Agriculture and Agri-Food Canada; Government of Canada","keywords":"Multinational corporation; Supply chain; Business; Politics; Supply chain management; Port (circuit theory); Value (mathematics); Industrial organization; International trade; Global value chain; Marketing; Finance; Comparative advantage; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007653583,0.0004904951,0.0004168417,0.001409702,0.0121185,0.00646285,0.001134232,0.002057226,0.007883604],"category_scores_gemma":[0.002604456,0.0002962705,0.0003845792,0.003253096,0.004002625,0.001553568,0.003051741,0.002875063,0.0007432257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1046152,"about_ca_system_score_gemma":0.1198306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923728,"about_ca_topic_score_gemma":0.9943503,"domain_scores_codex":[0.9984832,0.00004302252,0.00001971605,0.00007290275,0.000657686,0.0007234401],"domain_scores_gemma":[0.9984028,0.00007338683,0.0001375602,0.00003565336,0.0009169851,0.0004335374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0008663838,0.000165801,0.0965148,0.0008896844,0.0001408432,0.006917091,0.02953473,0.007229583,0.003475209,0.1541595,0.5630981,0.1370084],"study_design_scores_gemma":[0.00003725514,0.0000426401,0.242386,0.000315322,0.00003118406,0.0004613315,0.03942515,0.001385899,0.0009277184,0.004450528,0.7103605,0.0001765158],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5757002,0.008432014,0.001254753,0.125963,0.001820073,0.0001209183,0.006444148,0.0004637807,0.2798012],"genre_scores_gemma":[0.9300358,0.004228681,0.0005519346,0.009851495,0.0002207526,0.00003352195,0.002167935,0.0001027958,0.05280704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1046152,"threshold_uncertainty_score":0.7590398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571983757486557,"score_gpt":0.2707097763040042,"score_spread":0.2449899387291386,"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."}}