{"id":"W3195619485","doi":"10.1596/40900","title":"The Intergenerational Effects of Economic Sanctions","year":2021,"lang":"en","type":"book","venue":"","topic":"Economic Sanctions and International Relations","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Sanctions; Economic sanctions; Demographic economics; Control (management); Politics; Economics; Population; Political science; Development economics; Economic growth; Public economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009875792,0.0003492984,0.0003109234,0.001107537,0.0004935238,0.001103399,0.0003744883,0.0003754688,0.006993691],"category_scores_gemma":[0.004197041,0.0001651243,0.0006181496,0.001441137,0.0005729093,0.0006626974,0.00110279,0.001086666,0.0005103885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220765,"about_ca_system_score_gemma":0.0004075898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01987348,"about_ca_topic_score_gemma":0.03053581,"domain_scores_codex":[0.9988741,0.0004890219,0.00004824691,0.0001605941,0.0001723546,0.000255719],"domain_scores_gemma":[0.9964929,0.001482899,0.001366895,0.0002163036,0.0002507061,0.0001903314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001703212,0.0002233411,0.9489809,0.00004035796,0.0004786586,0.0005294631,0.0003869204,0.01018095,0.0002953596,0.005689263,0.001595199,0.03142922],"study_design_scores_gemma":[0.000006448422,0.0001132918,0.9905676,0.00002567072,0.0001633145,0.0001650976,0.0005732377,0.004653519,0.0002483013,0.0017942,0.001675624,0.00001381589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802576,0.001030332,0.001484443,0.0003180711,0.00004354174,0.00003003499,0.001682575,0.00001656835,0.01513678],"genre_scores_gemma":[0.9947126,0.00075067,0.0002501647,0.00004911684,0.00001786948,0.00001666838,0.0007450741,0.000005490796,0.003452305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01987348,"threshold_uncertainty_score":0.03951561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609310125530787,"score_gpt":0.2082260371699836,"score_spread":0.1921329359146757,"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."}}