{"id":"W4244071188","doi":"10.1108/oxan-es238857","title":"Canada-Mexico-US trade rework outlook is good, for now","year":2018,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rework; International trade; Business; Economics; Computer science; Embedded system","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":[0.001840883,0.001064219,0.000682946,0.002905856,0.008392369,0.01402337,0.001376356,0.007520999,0.2820996],"category_scores_gemma":[0.006562938,0.0005782499,0.0006851461,0.005432653,0.001352248,0.004130677,0.002232676,0.006183612,0.09048335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02732028,"about_ca_system_score_gemma":0.1111826,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8895985,"about_ca_topic_score_gemma":0.9337729,"domain_scores_codex":[0.9965926,0.00008022689,0.00007756496,0.0002040778,0.002065262,0.0009802573],"domain_scores_gemma":[0.9910744,0.0002750792,0.0002630302,0.0002992611,0.006247891,0.001840405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005661018,0.000005469325,0.00008884294,0.00001309896,6.373944e-7,0.00001131766,0.00001447573,0.00001500714,0.00001001484,0.001416883,0.9952587,0.003159918],"study_design_scores_gemma":[0.000004906292,0.000001259516,0.0007290968,0.00004554893,0.000001375611,0.000004609629,0.00008664309,0.00001511808,0.00002549978,0.0002751328,0.9988037,0.000007050536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0008534289,0.002161542,0.0002702117,0.06591669,0.005263324,0.0001323224,0.03054046,0.001096739,0.8937653],"genre_scores_gemma":[0.004057976,0.002109964,0.0004874673,0.009232938,0.0005597054,0.0000918105,0.008884892,0.0005420326,0.9740332],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2820996,"threshold_uncertainty_score":0.9437172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544538147842531,"score_gpt":0.2799576602383423,"score_spread":0.264512278759917,"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."}}