{"id":"W6982596474","doi":"","title":"Is USMCA Good for Mexican Labor? A Preliminary Analysis of USMCA and Labor Market Outcomes in Mexico","year":2024,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Workforce; Labor relations; Production (economics); Wage; Labor cost; The labor problem; Efficiency wage; Labor demand","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":[0.001095909,0.00014613,0.0002659127,0.0009220827,0.001837756,0.002511036,0.0004288171,0.0005466327,0.0110496],"category_scores_gemma":[0.003503239,0.00008220025,0.0002492054,0.001859227,0.0008007517,0.001101736,0.001242071,0.0008370461,0.0004597716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681643,"about_ca_system_score_gemma":0.001470869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08730385,"about_ca_topic_score_gemma":0.115051,"domain_scores_codex":[0.9995432,0.00010667,0.0000121429,0.00003969762,0.00004925526,0.0002491301],"domain_scores_gemma":[0.9975092,0.0005221624,0.001198179,0.0001067692,0.0003171293,0.0003464518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003064504,0.000315844,0.9544621,0.00006227646,0.00005512256,0.0002162058,0.003514472,0.0003994901,0.0001405219,0.01543769,0.00548775,0.01960211],"study_design_scores_gemma":[0.00002641564,0.00008908183,0.9776042,0.00007651634,0.00003818106,0.00002834522,0.01173654,0.0003697762,0.0001008608,0.001608698,0.00831202,0.000009308646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743674,0.0005794002,0.0001106954,0.005370693,0.00001504658,0.00002801648,0.001050936,0.000006662929,0.01847096],"genre_scores_gemma":[0.9956802,0.000383491,0.00006193069,0.0002381681,0.00003971491,0.00003090097,0.0006168016,0.000004202934,0.002944587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08730385,"threshold_uncertainty_score":0.1735914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173647987690965,"score_gpt":0.2635222346433282,"score_spread":0.2417857547664185,"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."}}