{"id":"W2625067203","doi":"10.3390/jrfm10020013","title":"OTC Derivatives and Global Economic Activity: An Empirical Analysis","year":2017,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Derivatives market; Interdependence; Error correction model; Financial market; Economics; Economic analysis; Financial economics; Econometrics; Business; Monetary economics; Finance; Cointegration; Agricultural economics; Political science; Futures contract","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008306194,0.0002587436,0.0005535574,0.0004808993,0.0007938471,0.001104732,0.0005204072,0.00008465485,0.00002708312],"category_scores_gemma":[0.0001570064,0.0002303964,0.0001874427,0.000256549,0.0001923583,0.002706061,0.0006383684,0.000194172,0.00001619501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006846903,"about_ca_system_score_gemma":0.0000175364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005977109,"about_ca_topic_score_gemma":0.0007174653,"domain_scores_codex":[0.9985966,0.00002487025,0.0004476821,0.0003599597,0.0002677858,0.0003030749],"domain_scores_gemma":[0.9981579,0.00002576741,0.001243227,0.0004406393,0.0000835234,0.00004891939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001904605,0.00009885883,0.6428812,0.00005454446,0.0001989628,0.00007990038,0.00005910693,0.00008632677,0.000001416738,0.02203762,0.0008512696,0.3334604],"study_design_scores_gemma":[0.0008152317,0.00005572724,0.9038784,0.0000247553,0.001160061,0.00000294319,0.0001065699,0.001096465,0.000001736401,0.01795709,0.07465667,0.0002443258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804114,0.000184808,0.01305925,0.0005737604,0.0005789822,0.0001907365,0.00001049942,0.0000223792,0.004968141],"genre_scores_gemma":[0.9962029,0.001239843,0.001038582,0.0003094395,0.00113136,0.000004418808,0.000002313302,0.0000141562,0.00005691815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3332161,"threshold_uncertainty_score":0.9999322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780671061685954,"score_gpt":0.2745116599839112,"score_spread":0.2567049493670516,"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."}}