{"id":"W7125879598","doi":"","title":"Asymmetric effects of trade risk on stock markets: Evidence in North America, Europe, and Asia","year":2025,"lang":"","type":"other","venue":"Lincoln University Research Archive (Lincoln University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tariff; Hedge; Stock (firearms); Stock market; Quantile regression; Index (typography); Stock market index; Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000912792,0.0001621214,0.0002453395,0.0008609007,0.0002441055,0.001063903,0.0002300112,0.0003076694,0.001644188],"category_scores_gemma":[0.004618805,0.000111219,0.000447325,0.001317891,0.0004940041,0.001023304,0.0009024918,0.0005061549,0.0002104393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002018148,"about_ca_system_score_gemma":0.0001806362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007076674,"about_ca_topic_score_gemma":0.006616255,"domain_scores_codex":[0.9995874,0.00008351839,0.00003596445,0.0001060568,0.0001180973,0.00006902307],"domain_scores_gemma":[0.9952363,0.001115423,0.002666904,0.0003188117,0.0003955998,0.000266987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008065963,0.00002582747,0.9877746,0.00001990555,0.0001696849,0.0001321418,0.0004632284,0.0004082664,0.0002120626,0.0005226517,0.0003308486,0.009860172],"study_design_scores_gemma":[0.000003148106,0.000031507,0.9967802,0.00002430061,0.00005830407,0.00007663393,0.0006542815,0.0008365803,0.0001780807,0.0004115772,0.0009377371,0.000007643185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956313,0.001160924,0.00028006,0.0003111358,0.00000966142,0.000002929852,0.0002294163,0.000004201429,0.002370287],"genre_scores_gemma":[0.9990308,0.0005404326,0.0000349111,0.00004736987,0.00002396553,9.832597e-7,0.0001867314,0.000001640715,0.0001331693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007076674,"threshold_uncertainty_score":0.01407099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02344816617906923,"score_gpt":0.2661079866539207,"score_spread":0.2426598204748515,"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."}}