{"id":"W3123793531","doi":"10.1016/j.jinteco.2017.07.004","title":"Comparative advantage, capital destruction, and hurricanes","year":2017,"lang":"en","type":"article","venue":"Journal of International Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; Université de Sherbrooke","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Comparative advantage; Competitive advantage; Economics; Shock (circulatory); Capital (architecture); Industrial organization; Revealed comparative advantage; Capital good; International trade; International economics; Goods and services; Market economy","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":[0.0002927493,0.000110392,0.0003798743,0.000156588,0.0001510437,0.0003151302,0.0004695346,0.00005521682,0.0001866785],"category_scores_gemma":[0.00009279729,0.0001264806,0.0001144331,0.00001037341,0.0001324533,0.001128551,0.0000794794,0.0001377516,0.00007174459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001336724,"about_ca_system_score_gemma":0.00002297187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005877543,"about_ca_topic_score_gemma":0.00004116532,"domain_scores_codex":[0.9989797,0.000004016294,0.0007131101,0.0001615827,0.0000178921,0.0001236539],"domain_scores_gemma":[0.9980382,0.00003102011,0.001581677,0.000178397,0.00007442209,0.00009629028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006587243,0.00006628425,0.3651876,0.000006264258,0.0003409639,0.00001018738,0.0004274907,0.0004794195,0.00001480238,0.6316605,0.0009801044,0.0007605744],"study_design_scores_gemma":[0.002417004,0.0002310613,0.5544348,0.00003305994,0.00002245644,0.000808424,0.001368657,0.004648324,0.0002215644,0.2800676,0.1552459,0.000501166],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631211,0.0006514344,0.000168928,0.001601193,0.002288532,0.0000406589,0.00009212211,0.000003769328,0.03203231],"genre_scores_gemma":[0.9939778,0.002501525,0.002590147,0.0001445481,0.0004978413,0.000001094274,0.000003106297,0.000009257167,0.0002746948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3515929,"threshold_uncertainty_score":0.5157729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05831262584846505,"score_gpt":0.2651237956226606,"score_spread":0.2068111697741956,"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."}}