{"id":"W2911901243","doi":"10.1016/j.puhe.2019.01.006","title":"Economic sanctions threaten population health: the case of Iran","year":2019,"lang":"en","type":"review","venue":"Public Health","topic":"Economic Sanctions and International Relations","field":"Economics, Econometrics and Finance","cited_by":120,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McMaster University; McGill University; Impact","funders":"","keywords":"Economic sanctions; Sanctions; Recession; Population; Depreciation (economics); Unemployment; Health care; Economics; Development economics; Economic policy; Economic growth; Environmental health; Political science; Medicine; Macroeconomics","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":["insufficient_payload"],"category_scores_codex":[0.001910474,0.0002797749,0.001702421,0.000694009,0.0003951112,0.0001065614,0.0003453045,0.0001923993,0.001129201],"category_scores_gemma":[0.00007741706,0.0002503486,0.0005656906,0.000308023,0.00005613427,0.0003337251,0.00006510889,0.0004016547,0.001730693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001830605,"about_ca_system_score_gemma":0.0008149088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0116724,"about_ca_topic_score_gemma":0.001628856,"domain_scores_codex":[0.9964461,0.0001236986,0.002431043,0.0005359122,0.00002732281,0.0004359403],"domain_scores_gemma":[0.9959462,0.000281725,0.002811081,0.0007445359,0.00003061282,0.0001857877],"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":[3.558219e-7,0.00004271721,0.0003857153,0.001241029,0.0001576423,5.36123e-7,0.000118474,0.00002739832,8.926618e-11,0.5408209,0.005418603,0.4517866],"study_design_scores_gemma":[0.0001292628,0.00005456464,0.0005455093,0.0003175375,0.00001542271,0.0001873515,0.00005727253,0.0004007136,8.419347e-10,0.003557539,0.994551,0.0001837953],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004584104,0.9765297,0.0006220983,0.005939205,0.001468038,0.001111916,0.001599758,0.00003752773,0.0126459],"genre_scores_gemma":[0.002245316,0.9943203,0.0001682191,0.0005087137,0.0003248855,0.0001627733,0.0006874385,0.00005893017,0.001523431],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9891324,"threshold_uncertainty_score":0.9999949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3437326921901352,"score_gpt":0.3896489075877893,"score_spread":0.045916215397654,"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."}}