{"id":"W1936101682","doi":"10.1111/jeea.12114","title":"THE WELFARE COST OF LAWLESSNESS: EVIDENCE FROM SOMALI PIRACY","year":2014,"lang":"en","type":"article","venue":"Journal of the European Economic Association","topic":"Maritime Security and History","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; International Growth Centre; Ministerio de Ciencia e Innovación; Fetzer Institute; Canadian Institute for Advanced Research; Ministerio de Economía y Competitividad","keywords":"Somali; Welfare; Revenue; Context (archaeology); Lawlessness; Order (exchange); Economics; Deadweight loss; Business; International economics; Law; Market economy; Political science; Geography; Finance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003706205,0.0004104283,0.0006353269,0.001720492,0.0009237816,0.001459985,0.0008476105,0.001238935,0.006794758],"category_scores_gemma":[0.02377055,0.0003195513,0.0006369839,0.00268982,0.003163959,0.001578841,0.001860903,0.001929677,0.0009223898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350515,"about_ca_system_score_gemma":0.0007267164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01332621,"about_ca_topic_score_gemma":0.01125662,"domain_scores_codex":[0.9978339,0.001308379,0.00009288033,0.0001539964,0.0003811814,0.0002295533],"domain_scores_gemma":[0.9586464,0.02219618,0.01337945,0.002666948,0.002159194,0.0009519473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003046665,0.00275199,0.9057264,0.0005930641,0.001637832,0.001352339,0.003129411,0.00981242,0.000940674,0.02263916,0.006269518,0.04210043],"study_design_scores_gemma":[0.0002648764,0.001693182,0.9560711,0.0002750423,0.0006560839,0.0006105237,0.006616989,0.0123065,0.001391862,0.01148824,0.008555808,0.00006979158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876735,0.0004602137,0.0004520559,0.0008541765,0.000009530585,0.00001876166,0.00040688,0.000006528094,0.0101184],"genre_scores_gemma":[0.9980395,0.0005795049,0.0001424166,0.0001025292,0.00001432114,0.0000115542,0.00029848,0.000003236878,0.0008084057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01332621,"threshold_uncertainty_score":0.0264973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562872620646729,"score_gpt":0.2459362522019305,"score_spread":0.2303075259954632,"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."}}