{"id":"W4212897686","doi":"10.1093/wber/lhab024","title":"The Intergenerational Effects of Economic Sanctions","year":2021,"lang":"en","type":"article","venue":"The World Bank Economic Review","topic":"Economic Sanctions and International Relations","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Sanctions; Economic sanctions; Economics; Demographic economics; Population; Control (management); Politics; Development economics; Economic growth; Public economics; Political science; Demography; Sociology; Law","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006658518,0.0001542781,0.000421298,0.00008963893,0.0003814098,0.00008113983,0.000394473,0.00003345528,0.004618665],"category_scores_gemma":[0.0001536924,0.0001234806,0.00035763,0.0001201182,0.0001330232,0.0002090029,0.00009905457,0.0001659727,0.003567177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003367248,"about_ca_system_score_gemma":0.000125408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005935737,"about_ca_topic_score_gemma":0.0008173227,"domain_scores_codex":[0.9982432,0.00005233735,0.001166892,0.0003218213,0.00002103239,0.0001946745],"domain_scores_gemma":[0.9979573,0.0006872257,0.0006103646,0.0006627237,0.00003622627,0.00004615645],"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":[0.000002081134,0.00001891494,0.0008566211,0.00007030695,0.0001660534,3.272088e-7,0.00001589321,0.0004468867,0.000005431114,0.9358066,0.06109328,0.001517555],"study_design_scores_gemma":[0.0002123371,0.00001211445,0.00338785,0.0002183886,0.00003313528,0.00001537876,0.000008734866,0.00167287,0.0002283266,0.04578528,0.948267,0.0001586254],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01427626,0.4567825,0.001322205,0.0354115,0.009331246,0.001014121,0.0002689061,0.00005302518,0.4815402],"genre_scores_gemma":[0.5780362,0.2861131,0.0006096712,0.004282155,0.001553576,0.0006764694,0.0001491248,0.00008663537,0.1284931],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8900214,"threshold_uncertainty_score":0.9972087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230429740880983,"score_gpt":0.2588902514899498,"score_spread":0.2358472774018515,"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."}}