{"id":"W845226434","doi":"","title":"Cargo diversion's political stir : FMC study riles Canadian industry and government leaders","year":2011,"lang":"en","type":"article","venue":"American shipper","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Business; Politics; International trade; Public administration; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001737683,0.0002068364,0.0002568195,0.002947629,0.01375289,0.004612367,0.001019677,0.001456238,0.007297149],"category_scores_gemma":[0.004752599,0.0002679732,0.00030039,0.004653551,0.003251967,0.001810207,0.002390358,0.002763594,0.0004525509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06209496,"about_ca_system_score_gemma":0.08786184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.985064,"about_ca_topic_score_gemma":0.9958354,"domain_scores_codex":[0.9980322,0.0001581462,0.00002291302,0.00008216353,0.00055371,0.001150856],"domain_scores_gemma":[0.9961235,0.0004714721,0.0005911366,0.00008721865,0.001424535,0.001302182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003764849,0.000511986,0.6569839,0.0001331889,0.00005765148,0.0006026766,0.1889481,0.0004810803,0.0004952604,0.03598228,0.06409678,0.05133059],"study_design_scores_gemma":[0.00001381938,0.00005464154,0.6618624,0.00008761555,0.0000211989,0.00003983624,0.2871507,0.000244248,0.0001133593,0.0005982847,0.04978108,0.00003289257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9218097,0.0003252372,0.00007227063,0.006166532,0.00003903023,0.00004808989,0.0005259046,0.000006672664,0.07100664],"genre_scores_gemma":[0.9844525,0.0003351311,0.00003153992,0.0009100386,0.00002644016,0.00001916001,0.0001957509,0.000006670454,0.01402269],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06209496,"threshold_uncertainty_score":0.4505326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04797537781761062,"score_gpt":0.2928942920547167,"score_spread":0.244918914237106,"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."}}