{"meta":{"query_hash":"8acc6725ea31","filters":{"venue":"Financial Economics Letters"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/8acc6725ea31","api":"https://metacan.xera.ac/api/v1/cohort?venue=Financial+Economics+Letters"},"results":[{"id":"W7101403555","doi":"10.58567/fel04020001","title":"Tariff Shadows: Mapping Higher-Order Moment Spillovers Across Global Equity Markets","year":2025,"lang":"en","type":"article","venue":"Financial Economics Letters","topic":"Heat shock proteins research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China; Zhejiang Gongshang University","keywords":"Volatility (finance); Equity (law); Spillover effect; Stock (firearms); Tariff; Reciprocal; Stock market","score_opus":0.014404347907744135,"score_gpt":0.29572278526661877,"score_spread":0.28131843735887463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101403555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838118,0.00014452187,0.011107931,0.000060684328,0.000008349034,0.000014684655,0.00037028943,0.00011502756,0.0043666763],"genre_scores_gemma":[0.99798054,0.000069676564,0.0014625018,0.0000088996185,0.000007689802,0.0000045282563,0.00017841691,0.000014081155,0.00027366093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985504,0.000028334947,0.0000060549573,0.00003652672,0.000035964888,0.000038029913],"domain_scores_gemma":[0.9990645,0.0002946585,0.00032321838,0.00012560889,0.000110744855,0.00008123597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049501075,0.0002902267,0.00021474498,0.0021046405,0.00022593727,0.0011933725,0.00019563104,0.0002888217,0.0030887753],"category_scores_gemma":[0.0027411596,0.0001426247,0.00040027362,0.0016008065,0.00039455848,0.0012871375,0.0009508709,0.00038305327,0.00027156185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076264126,0.0002010211,0.60901994,0.00022306676,0.00041459838,0.001234602,0.0027676923,0.11528573,0.02854944,0.048378672,0.0032863778,0.18987629],"study_design_scores_gemma":[0.00003430451,0.00013654772,0.7375449,0.000057841324,0.00011294539,0.00041436145,0.0015028302,0.22317345,0.005858069,0.026473483,0.0046232212,0.00006795864],"about_ca_topic_score_codex":0.00567754,"about_ca_topic_score_gemma":0.0032449546,"teacher_disagreement_score":0.00567754,"about_ca_system_score_codex":0.0004264322,"about_ca_system_score_gemma":0.00030829338,"threshold_uncertainty_score":0.0112890005},"labels":[],"label_agreement":null}]}