{"id":"W3010074932","doi":"10.16980/jitc.15.6.201912.49","title":"Gold and Bitcoin Hedging against 10 Exchange Returns","year":2019,"lang":"en","type":"article","venue":"Korea International Trade Research Institute","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Monetary economics; Financial economics; Econometrics; Business","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":[0.002042035,0.0005024933,0.0004383413,0.001151743,0.0002676037,0.001601477,0.0003668867,0.0004940689,0.003302645],"category_scores_gemma":[0.007991774,0.0001164196,0.0005551478,0.001050398,0.0003864968,0.001368276,0.0006415154,0.0007412562,0.000512518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008528897,"about_ca_system_score_gemma":0.0003032057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002005462,"about_ca_topic_score_gemma":0.002048823,"domain_scores_codex":[0.9991184,0.0001844113,0.00008694242,0.000170477,0.0003385374,0.0001012479],"domain_scores_gemma":[0.9912472,0.003901832,0.003356902,0.0004788405,0.000708487,0.0003067124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001772553,0.0004537135,0.9182178,0.0001917482,0.0005059376,0.0007398198,0.0003103057,0.02230632,0.007806811,0.004969929,0.000843549,0.0418815],"study_design_scores_gemma":[0.00003098794,0.001019803,0.9124418,0.00006000534,0.0002616799,0.000352324,0.0005808417,0.07239277,0.007867416,0.003129521,0.001800069,0.00006279912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974401,0.0001834928,0.0006358249,0.00004986854,0.00001024108,0.00001060767,0.0002247755,0.00001150675,0.001433543],"genre_scores_gemma":[0.9988095,0.00009028809,0.0001478875,0.00001161203,0.000008340633,0.000004483218,0.0002479368,0.000003758292,0.0006762679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003302645,"threshold_uncertainty_score":0.01104844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05234341577094379,"score_gpt":0.3338487060863519,"score_spread":0.2815052903154081,"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."}}