{"meta":{"query_hash":"0345a255bbdb","filters":{"venue":"South China Rural Area"},"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/0345a255bbdb","api":"https://metacan.xera.ac/api/v1/cohort?venue=South+China+Rural+Area"},"results":[{"id":"W2349554394","doi":"","title":"An Empirical Research on Volatility Spillover Effects between Canadian and Chinese Rapeseed Oil Futures Market","year":2013,"lang":"en","type":"article","venue":"South China Rural Area","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":"Futures contract; Rapeseed; Volatility (finance); Financial economics; Economics; Spillover effect; Futures market; Forward market; Granger causality; Error correction model; Econometrics; Cointegration; Microeconomics","score_opus":0.03081810840459298,"score_gpt":0.2884585481482282,"score_spread":0.2576404397436352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2349554394","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":[0.972949,0.002216142,0.0049905684,0.0010266979,0.000040628456,0.000040975545,0.00079776504,0.00005514988,0.017883066],"genre_scores_gemma":[0.9952598,0.0013769167,0.00068074977,0.00006194299,0.000025921383,0.0000069705006,0.0005782668,0.000005813572,0.0020036704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994665,0.00005067024,0.00002539532,0.000092459144,0.00025520148,0.00010983859],"domain_scores_gemma":[0.9976057,0.0010855338,0.00045527043,0.00011625566,0.0006205913,0.000116767114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010218575,0.00032300386,0.0003239642,0.0013246313,0.0007967481,0.0013383044,0.00034992816,0.0004083116,0.0036743693],"category_scores_gemma":[0.005688183,0.00014924834,0.0007829686,0.001983839,0.00041478363,0.0014452168,0.0004963032,0.00079590775,0.00014521753],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047895918,0.00020053257,0.77537775,0.00050761766,0.0006468441,0.002114011,0.0028716142,0.03340906,0.0037334887,0.060858075,0.0057382737,0.1140638],"study_design_scores_gemma":[0.00007744945,0.00012112412,0.88117665,0.00014313166,0.00088762236,0.0004448428,0.0026633244,0.08149971,0.0046700155,0.014839397,0.01333849,0.00013824183],"about_ca_topic_score_codex":0.33258796,"about_ca_topic_score_gemma":0.22712903,"teacher_disagreement_score":0.66741204,"about_ca_system_score_codex":0.0023792214,"about_ca_system_score_gemma":0.0037423044,"threshold_uncertainty_score":0.6613041},"labels":[],"label_agreement":null}]}