{"meta":{"query_hash":"ef783bbc7812","filters":{"venue":"Economic Alternatives"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/ef783bbc7812","api":"https://metacan.xera.ac/api/v1/cohort?venue=Economic+Alternatives"},"results":[{"id":"W7117486307","doi":"10.37075/ea.2025.4.02","title":"On the Connectedness Between Bitcoin, Gold, Gold-Backed Cryptocurrencies and the G7 Banking Sector Stock Indices During Crises: Evidence from Quantile Vector Autoregression and Temporal Frequency Connectivity approach","year":2025,"lang":"","type":"article","venue":"Economic Alternatives","topic":"Blockchain Technology Applications and Security","field":"Computer Science","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":"","keywords":"Social connectedness; Cryptocurrency; Vector autoregression; Quantile; Index (typography); Stock market index; Nonparametric statistics; Stock (firearms)","score_opus":0.03707832103644436,"score_gpt":0.2796474488549082,"score_spread":0.24256912781846385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117486307","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":[0.9939857,0.00023023256,0.0038943936,0.00024483414,0.000009135858,0.000007253006,0.0002980121,0.000027276194,0.0013032136],"genre_scores_gemma":[0.9992106,0.000089588284,0.00023526691,0.000011648727,0.0000106258985,0.0000030954964,0.00027662932,0.0000053020185,0.00015732774],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995621,0.00013226556,0.000028990842,0.00013747686,0.000074355834,0.000064822096],"domain_scores_gemma":[0.9915399,0.004632763,0.0025043576,0.00042338646,0.00048309364,0.0004165866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011898152,0.00028199804,0.0003345515,0.0016586825,0.00026997368,0.0011343862,0.00046961152,0.0005956863,0.0025721216],"category_scores_gemma":[0.009983269,0.0001578096,0.00048301037,0.0018858749,0.0007288477,0.0016132002,0.00079828635,0.00086045737,0.0004103696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026255607,0.000085195024,0.94469106,0.000037212736,0.00028475575,0.0005459765,0.0007251311,0.01786141,0.001232561,0.009182102,0.001167218,0.023924716],"study_design_scores_gemma":[0.000013665896,0.00012613066,0.8231624,0.000039053004,0.00014339537,0.0002591434,0.001108553,0.16319144,0.00055557734,0.010035555,0.0013236601,0.0000415242],"about_ca_topic_score_codex":0.007226152,"about_ca_topic_score_gemma":0.0045226533,"teacher_disagreement_score":0.007226152,"about_ca_system_score_codex":0.0003167052,"about_ca_system_score_gemma":0.00019884213,"threshold_uncertainty_score":0.014368176},"labels":[],"label_agreement":null},{"id":"W7117487798","doi":"10.37075/ea.2025.4.04","title":"Volatility Spillovers between the Global Economy Policy Uncertainty Index and Equity Markets: Evidence from Developed and Emerging Economies","year":2025,"lang":"","type":"article","venue":"Economic Alternatives","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","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":"","keywords":"Emerging markets; Volatility (finance); Equity (law); Autoregressive conditional heteroskedasticity; Index (typography); Politics","score_opus":0.03509072428386534,"score_gpt":0.3131289621605433,"score_spread":0.278038237876678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117487798","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":[0.99593025,0.0007770412,0.00025374355,0.00017054068,0.000005486131,0.000004407188,0.00009228309,0.0000024885894,0.002763784],"genre_scores_gemma":[0.9992211,0.0005469176,0.000029340585,0.000018724379,0.00001026862,8.5974654e-7,0.0000870544,6.5531935e-7,0.000085218344],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997634,0.00006893516,0.000021160899,0.00003905247,0.000059393245,0.000048008427],"domain_scores_gemma":[0.99576735,0.0017007875,0.0017700688,0.00019749068,0.0003387292,0.00022542616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080778025,0.00014931454,0.00024826298,0.0009586238,0.00025637794,0.0014280513,0.00015496789,0.0002703987,0.0009493337],"category_scores_gemma":[0.0038112176,0.000102029895,0.00035143743,0.0013526614,0.000654198,0.0012180529,0.0007771497,0.0006002322,0.00008671611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003102605,0.00014729006,0.96968174,0.00006475397,0.00033699823,0.00060651265,0.0010161498,0.002819833,0.0006751317,0.0067481846,0.0004423565,0.01715075],"study_design_scores_gemma":[0.000012016186,0.00008116664,0.99241686,0.00003131656,0.00011196436,0.000108939326,0.0013961932,0.0019511814,0.00048817726,0.00216682,0.0012215895,0.000013774707],"about_ca_topic_score_codex":0.006022925,"about_ca_topic_score_gemma":0.0054971,"teacher_disagreement_score":0.006022925,"about_ca_system_score_codex":0.00033223096,"about_ca_system_score_gemma":0.00030466905,"threshold_uncertainty_score":0.011975765},"labels":[],"label_agreement":null}]}