{"id":"W4407593564","doi":"10.1177/0258042x241309725","title":"Do Crypto and Equity Go Hand in Hand? An Empirical Study of G-7 Economies Using VECM, Granger Causality and Panel Data Analysis","year":2025,"lang":"en","type":"article","venue":"Management and Labour Studies","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Granger causality; Econometrics; Causality (physics); Equity (law); Panel data; Empirical research; Statistics; Mathematics; Political science","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":[0.00141055,0.0002531453,0.0004403298,0.001618224,0.0003898199,0.001703129,0.0003098288,0.0005865949,0.003164634],"category_scores_gemma":[0.005486055,0.000142843,0.0004633722,0.00254448,0.001128959,0.001833837,0.0006530583,0.0009709539,0.0003788905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006717421,"about_ca_system_score_gemma":0.0005603947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006412957,"about_ca_topic_score_gemma":0.004726164,"domain_scores_codex":[0.9994075,0.0002284572,0.00003826933,0.0000998789,0.0001006289,0.0001252293],"domain_scores_gemma":[0.9909874,0.005467941,0.00252492,0.0003923785,0.0003378286,0.0002894895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002889182,0.0001922196,0.9145846,0.0001398334,0.0003624645,0.001167202,0.0009065074,0.007914183,0.0007357353,0.03319538,0.001040703,0.03947216],"study_design_scores_gemma":[0.00006320202,0.0002927905,0.8871167,0.0002254181,0.0004435268,0.0004500806,0.006599612,0.05847202,0.002720042,0.03356293,0.009984817,0.0000688351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943517,0.0006073769,0.001160513,0.0002900012,0.000005445591,0.00001360317,0.000198407,0.000005804253,0.003367135],"genre_scores_gemma":[0.9987134,0.0003341044,0.0002912038,0.00003822703,0.000008522359,0.000005051296,0.0001883489,0.000002383775,0.000418719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006412957,"threshold_uncertainty_score":0.01275122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1176706580785671,"score_gpt":0.3897882340184685,"score_spread":0.2721175759399014,"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."}}