{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000175958,0.0001122422,0.0001517338,0.00004243334,0.0004166781,0.00003529753,0.0002080781,0.00008359319,0.0004317319],"category_scores_gemma":[0.0001558033,0.0001161234,0.00003219108,0.0002162285,0.001384676,0.0001204139,0.00004101765,0.0002509772,0.00003821342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006203343,"about_ca_system_score_gemma":0.000537023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9896436,"about_ca_topic_score_gemma":0.9717986,"domain_scores_codex":[0.9984458,0.0001259151,0.000100238,0.0002463894,0.0003801004,0.000701519],"domain_scores_gemma":[0.9986572,0.00006034918,0.00004904486,0.0001640509,0.00002091075,0.001048405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000014067,0.00006653305,0.8576835,0.000002111593,0.00003794222,0.00007238995,0.07018692,1.549945e-7,0.000002025583,0.04605655,0.02115974,0.004718028],"study_design_scores_gemma":[0.0001413576,0.0001123805,0.6622317,0.000005988424,0.00002052471,0.000001350992,0.2088118,6.432087e-7,0.000006155402,0.0001496253,0.1283418,0.0001766213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9221185,0.00002061641,5.765639e-7,0.007584815,0.00008768481,0.0001703344,0.0001629681,0.00001731487,0.06983716],"genre_scores_gemma":[0.9898763,0.000009705426,0.00002841682,0.006924012,0.0001643151,0.000009123758,5.124249e-7,0.00001017221,0.002977428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1954518,"threshold_uncertainty_score":0.5101894,"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."}}