{"id":"W4388336753","doi":"10.1016/j.jpolmod.2023.11.003","title":"Terrorism and economic policy responses in Tunisia","year":2023,"lang":"en","type":"article","venue":"Journal of Policy Modeling","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Terrorism; Economics; Tourism; Government (linguistics); Value (mathematics); Government spending; Public economics; Fiscal policy; Economic impact analysis; General equilibrium theory; Economic policy; Macroeconomics; Development economics; Monetary economics; International economics; Microeconomics; Political science; Market economy; Welfare","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":[],"consensus_categories":[],"category_scores_codex":[0.001626015,0.000132951,0.0002922972,0.001185271,0.0001908749,0.00009704188,0.0003182263,0.0001310666,0.00001492838],"category_scores_gemma":[0.0008824458,0.0001265015,0.0001013143,0.0004102864,0.0001515679,0.0004535537,0.00006696754,0.0003044541,0.00003567395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004727941,"about_ca_system_score_gemma":0.001341306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01778123,"about_ca_topic_score_gemma":0.001252745,"domain_scores_codex":[0.9981434,0.0002521263,0.0005910863,0.0001556325,0.0002786646,0.0005791442],"domain_scores_gemma":[0.9990408,0.0002855111,0.0001688362,0.0001312997,0.00006605493,0.0003074269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000628561,0.0001653421,0.01846036,0.0001051066,0.0001265402,0.0004450419,0.8438311,0.01970936,0.001466785,0.06252122,0.003072454,0.04946809],"study_design_scores_gemma":[0.003717774,0.0006203182,0.02421752,0.001187205,0.00008060043,0.0002317955,0.5869694,0.212485,0.0001230523,0.1513797,0.01758638,0.001401261],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779347,0.0001512041,0.0003376029,0.020064,0.0003349463,0.00006813277,0.000009972681,0.00003356969,0.001065862],"genre_scores_gemma":[0.9949902,0.001342325,0.00003895021,0.0005596888,0.002646255,0.000002114615,4.068463e-7,0.00001713347,0.0004028894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2568618,"threshold_uncertainty_score":0.9887595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05668973255616774,"score_gpt":0.4018218953237525,"score_spread":0.3451321627675847,"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."}}