{"meta":{"query_hash":"e17e6253669a","filters":{"venue":"2020 2nd International Conference on Economic Management and Model Engineering (ICEMME)"},"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/e17e6253669a","api":"https://metacan.xera.ac/api/v1/cohort?venue=2020+2nd+International+Conference+on+Economic+Management+and+Model+Engineering+%28ICEMME%29"},"results":[{"id":"W3170564909","doi":"10.1109/icemme51517.2020.00209","title":"The Causal Relationship Between Exchange Rate Volitility, Stock Price Volitility and Unemployment Rate in Czech Republic A SVAR Analysis","year":2020,"lang":"en","type":"article","venue":"2020 2nd International Conference on Economic Management and Model Engineering (ICEMME)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Exchange rate; Economics; Czech; Granger causality; Autoregressive conditional heteroskedasticity; Econometrics; Stock (firearms); Unemployment rate; Unemployment; Conditional variance; Stock price; Monetary economics; Macroeconomics; Volatility (finance); Series (stratigraphy)","score_opus":0.1542616508234021,"score_gpt":0.2672471463121666,"score_spread":0.11298549548876452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170564909","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":[0.99198735,0.0005511889,0.003262089,0.00030530797,0.000024636787,0.000019776156,0.0006476729,0.000069464055,0.0031326318],"genre_scores_gemma":[0.99860007,0.00018533692,0.00031015193,0.00001414878,0.000008163563,0.0000048556026,0.00028031756,0.0000070180013,0.00058998476],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943167,0.00012413667,0.00007166851,0.00014378395,0.00010435954,0.00012431246],"domain_scores_gemma":[0.99877936,0.0005174347,0.00032457494,0.00008670926,0.00019480505,0.00009718648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011689105,0.00029689592,0.00039356542,0.001958327,0.00047573866,0.001940022,0.00032477814,0.00036955933,0.0028484939],"category_scores_gemma":[0.0026238656,0.0003396204,0.0012417554,0.0012511344,0.00040356404,0.00061051524,0.0008577944,0.00062625535,0.00027089907],"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":[0.00044104795,0.0001539879,0.8647922,0.00021616965,0.001130319,0.0015391061,0.0007202434,0.08225589,0.0058346083,0.018692112,0.0018970692,0.022327255],"study_design_scores_gemma":[0.000043684267,0.0001613002,0.8450403,0.00014004558,0.0006131173,0.00037597676,0.0012394519,0.1420239,0.0014382666,0.005341845,0.0034831045,0.00009903915],"about_ca_topic_score_codex":0.030919297,"about_ca_topic_score_gemma":0.018025167,"teacher_disagreement_score":0.030919297,"about_ca_system_score_codex":0.0006809011,"about_ca_system_score_gemma":0.0013946533,"threshold_uncertainty_score":0.061478615},"labels":[],"label_agreement":null}]}