{"id":"W4245264387","doi":"10.1002/mare.30656","title":"AFL‐CIO Leveraging the U.S.‐Mexico‐Canada Agreement","year":2020,"lang":"en","type":"article","venue":"Management Report for Nonunion Organizations","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agreement; Competition (biology); Political science; Free trade agreement; Trade agreement; Law; International trade; Business; Philosophy; Free trade","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":[0.005974256,0.0005107287,0.0003577022,0.002328511,0.01058511,0.008483702,0.00143295,0.004618297,0.01750027],"category_scores_gemma":[0.01140305,0.0003999932,0.0004785907,0.00193627,0.00187641,0.001496883,0.003867651,0.005948615,0.002646609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0557097,"about_ca_system_score_gemma":0.2251532,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9735456,"about_ca_topic_score_gemma":0.9766122,"domain_scores_codex":[0.9908896,0.0004685214,0.0001337274,0.0005051844,0.005110887,0.002892064],"domain_scores_gemma":[0.9862319,0.0008348423,0.000278005,0.0004463078,0.009024521,0.003184474],"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":[0.000100135,0.0001490397,0.007926674,0.00009955739,0.00003021562,0.0003065493,0.001089774,0.0007265768,0.0009339601,0.217023,0.7355662,0.03604833],"study_design_scores_gemma":[0.00003127367,0.00002112944,0.007325068,0.00009189046,0.00001432728,0.00002892783,0.0004854209,0.0004049434,0.0004126808,0.001613633,0.9895419,0.00002872769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01811109,0.002727589,0.003062716,0.1466871,0.002524602,0.0006070645,0.00313013,0.000370373,0.8227794],"genre_scores_gemma":[0.201902,0.003393055,0.008884431,0.04985866,0.0006498537,0.0004675013,0.003429525,0.0002416734,0.7311732],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0557097,"threshold_uncertainty_score":0.4042041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166949663330078,"score_gpt":0.2511740227827022,"score_spread":0.2344790564496944,"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."}}