{"id":"W7082634764","doi":"10.1108/jes-02-2025-0128","title":"Market reactions to the US-Houthi conflict: an event study of the US stock market","year":2025,"lang":"en","type":"article","venue":"Journal of Economic Studies","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Stock market; Event study; Benchmarking; Stock (firearms); Stock exchange; Volatility (finance); Declaration; Window of opportunity; Estimation","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":[0.001060392,0.0002170944,0.0002232999,0.0009179128,0.0004498932,0.001168263,0.0002099419,0.0003553219,0.001656644],"category_scores_gemma":[0.004896548,0.00008373341,0.0002588693,0.000921254,0.0003295873,0.0008310766,0.0009717668,0.0005919154,0.0002311461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004741977,"about_ca_system_score_gemma":0.000405767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003650923,"about_ca_topic_score_gemma":0.005667618,"domain_scores_codex":[0.9993962,0.000176944,0.00006221722,0.00007516275,0.0002008782,0.00008856877],"domain_scores_gemma":[0.9963644,0.0008197401,0.001839813,0.0001829577,0.0004142937,0.0003788369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005431523,0.0004699051,0.975634,0.00004801787,0.0001067167,0.0004771619,0.001750822,0.000671331,0.001737322,0.0006216227,0.001434624,0.01650524],"study_design_scores_gemma":[0.00001055915,0.0003815626,0.992834,0.00001976668,0.00002043594,0.0001595364,0.002806441,0.001566641,0.0005650807,0.0002730182,0.00134634,0.00001681454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984869,0.0000604867,0.0001680553,0.00007788631,0.00001265256,0.00003240314,0.0001729441,0.000003763957,0.0009849129],"genre_scores_gemma":[0.9988913,0.00008125172,0.0002061123,0.0001085127,0.00004258916,0.00003562298,0.0003686045,0.000003181327,0.0002628569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003650923,"threshold_uncertainty_score":0.007259369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0385316750774156,"score_gpt":0.3012880843688571,"score_spread":0.2627564092914415,"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."}}