{"id":"W4393044093","doi":"10.2139/ssrn.4767336","title":"Market Impact of the Bitcoin ETF Introduction on Bitcoin Futures","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Futures contract; Cryptocurrency; Futures market; Financial economics; Business; Economics; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001343325,0.0003350491,0.0003095835,0.0008084502,0.0005793342,0.00349028,0.0003311851,0.001352547,0.01710973],"category_scores_gemma":[0.008316038,0.0001482815,0.0002403709,0.0007458886,0.0004438237,0.002255186,0.0006573626,0.001972186,0.001022371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001408427,"about_ca_system_score_gemma":0.0004900537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005084531,"about_ca_topic_score_gemma":0.00391453,"domain_scores_codex":[0.9996399,0.0000738868,0.00001289173,0.00005040631,0.0001636818,0.00005918999],"domain_scores_gemma":[0.9965205,0.001884348,0.0003717517,0.0001373985,0.0007272418,0.0003587505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.004033963,0.000423773,0.01563392,0.0004802821,0.00008691797,0.002730825,0.000824584,0.1150423,0.02156809,0.5666178,0.1165012,0.1560563],"study_design_scores_gemma":[0.0002995616,0.0007536524,0.07194921,0.0004576725,0.0001299035,0.0009474398,0.001049446,0.3818853,0.02779783,0.2946074,0.2197535,0.0003691243],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7645457,0.004243026,0.006031171,0.01479534,0.001470063,0.00002638991,0.00266251,0.0003874152,0.2058383],"genre_scores_gemma":[0.9779114,0.0007766366,0.0006786415,0.0003031475,0.0005296585,0.000006766739,0.0005102391,0.0001002648,0.01918331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01710973,"threshold_uncertainty_score":0.05723774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009785526323976853,"score_gpt":0.235301099387719,"score_spread":0.2255155730637421,"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."}}