{"id":"W4313022722","doi":"10.5937/jouproman2203121h","title":"Cryptocurrencies and G7 capital markets integrate in periods of extreme volatility?","year":2022,"lang":"en","type":"article","venue":"Journal of Process Management New Technologies","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Cryptocurrency; Volatility (finance); Capital market; Economics; Stock market index; Portfolio; Market integration; Monetary economics; Stock market; Financial market; Index (typography); Financial economics; Financial system; Business; Geography; Finance; Macroeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005482316,0.0001237333,0.0002557488,0.0007771528,0.0001067079,0.00003889349,0.001576973,0.00006509814,0.00001239152],"category_scores_gemma":[0.00008170749,0.0001087136,0.00004153961,0.001220998,0.000176935,0.0003060112,0.001121145,0.0004643654,2.500276e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007790329,"about_ca_system_score_gemma":0.00007819224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007978606,"about_ca_topic_score_gemma":0.000008923571,"domain_scores_codex":[0.9988061,0.00002977538,0.0004658534,0.0002278929,0.0002894874,0.0001809369],"domain_scores_gemma":[0.9990395,0.00003431431,0.0004340745,0.0003679893,0.000103486,0.00002061908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000056908,0.0003369891,0.01843872,0.0002671501,0.00009410869,0.00007410987,0.002601369,0.0001020785,0.0003196998,0.2832074,0.001426495,0.693075],"study_design_scores_gemma":[0.00145782,0.0006905481,0.02566688,0.0001364182,0.00003904057,0.0001673529,0.03464099,0.01639503,0.003662613,0.9070336,0.009698265,0.0004114388],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9379596,0.003780639,0.0520478,0.00517944,0.0001069803,0.0002875189,0.00000231368,0.0002332506,0.0004024385],"genre_scores_gemma":[0.9799849,0.0003917748,0.01950846,0.0000168259,0.000003843491,0.00003486725,2.375072e-7,0.000004049494,0.00005500602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6926636,"threshold_uncertainty_score":0.4433212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443594799383616,"score_gpt":0.2417407630626504,"score_spread":0.2273048150688143,"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."}}