{"id":"W4362467917","doi":"10.1257/mac.20190445","title":"Self-Harming Trade Policy? Protectionism and Production Networks","year":2023,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada; HEC Montréal; Université du Québec à Montréal","funders":"","keywords":"Protectionism; Economics; Production (economics); International economics; Commercial policy; International trade; Stock (firearms); Downstream (manufacturing); Panel data; Construct (python library); Macroeconomics; Econometrics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00111054,0.0003779487,0.0008091952,0.0007737191,0.0005591838,0.0005258673,0.0003886389,0.0001292906,0.0000728561],"category_scores_gemma":[0.000074076,0.0005005088,0.0002372338,0.0003382636,0.0002881038,0.0009640562,0.0001360752,0.0005621274,0.001282514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093394,"about_ca_system_score_gemma":0.0001236119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003138922,"about_ca_topic_score_gemma":0.0000663614,"domain_scores_codex":[0.9969299,0.00003439896,0.001309591,0.0007892559,0.00002212105,0.0009146934],"domain_scores_gemma":[0.9979032,0.00006465481,0.00122886,0.0004014877,0.00001283219,0.0003890198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003338895,0.0003585049,0.226201,0.0002074027,0.002537551,0.0001185431,0.003801849,0.1645836,0.00005497752,0.3698424,0.04320357,0.1887567],"study_design_scores_gemma":[0.002122047,0.0005189961,0.05277784,0.00003484476,0.00005661473,0.001903042,0.002187452,0.1510135,0.00009406067,0.1091537,0.6780185,0.002119526],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651545,0.0006946864,0.0006866102,0.01785407,0.002584686,0.0005755929,0.00008592042,0.0004157132,0.01194817],"genre_scores_gemma":[0.9811988,0.01298753,0.001516908,0.001230056,0.002495105,0.00005259563,0.00001571603,0.0001134475,0.0003898748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6348149,"threshold_uncertainty_score":0.9997447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0229514729121835,"score_gpt":0.222326450780284,"score_spread":0.1993749778681005,"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."}}