{"id":"W3034385020","doi":"10.3390/jrfm13060119","title":"Does Bitcoin Hedge Commodity Uncertainty?","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social connectedness; Spillover effect; Volatility (finance); Hedge; Commodity; Cryptocurrency; Index (typography); Economics; Monetary economics; Financial economics; Business; Microeconomics; Computer science; Computer security; Psychology; Finance; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.000274999,0.00007394481,0.0001575632,0.00007132788,0.0001321165,0.00004085192,0.0004904895,0.00004802095,0.000002816878],"category_scores_gemma":[0.00004040993,0.00004623535,0.00005365666,0.0002626275,0.00005208996,0.0001055185,0.000264752,0.0002281231,0.000003975845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001282923,"about_ca_system_score_gemma":0.00001437728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009539146,"about_ca_topic_score_gemma":0.00001075571,"domain_scores_codex":[0.9993674,0.00002916275,0.0002322657,0.0001373644,0.0001226316,0.0001111488],"domain_scores_gemma":[0.9994872,0.00003072124,0.0001884977,0.0001687102,0.00005012926,0.00007478361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001989005,0.00007797214,0.002569834,0.00002542406,0.00001381332,0.00005433953,0.0008176108,0.00005922368,0.000007085794,0.344793,0.004074392,0.6474874],"study_design_scores_gemma":[0.000997678,0.0002868471,0.03347235,0.00002660641,0.00004765542,0.00001615028,0.0001930997,0.008518609,0.0001484011,0.1744926,0.7815844,0.0002155247],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08516694,0.0003222568,0.9069425,0.007025466,0.0002092819,0.0001047322,0.000005139625,0.000039161,0.0001845362],"genre_scores_gemma":[0.9784939,0.001070475,0.01961231,0.0006977799,0.0001117638,0.000003129824,2.398993e-7,0.000002330344,0.000008040804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.893327,"threshold_uncertainty_score":0.1885423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007767038189346929,"score_gpt":0.2093391992655494,"score_spread":0.2015721610762024,"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."}}