{"id":"W4413832234","doi":"10.3390/jrfm18090484","title":"Can Including Cryptocurrencies with Stocks in Portfolios Enhance Returns in Small Economies? An Analysis of Fiji’s Stock Market","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cryptocurrency; Stock (firearms); Stock market; Financial economics; Economics; Business; Monetary economics; Geography; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002431765,0.0005489776,0.0004110446,0.002188153,0.000373357,0.0025829,0.0003943556,0.0004236042,0.002441126],"category_scores_gemma":[0.01236658,0.0001556785,0.0006578192,0.002217854,0.0007095788,0.003246383,0.001049066,0.0006112966,0.0004161064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006458157,"about_ca_system_score_gemma":0.0006481206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006521575,"about_ca_topic_score_gemma":0.0116771,"domain_scores_codex":[0.9992247,0.0002016026,0.00005925812,0.0001002248,0.0002955295,0.0001188155],"domain_scores_gemma":[0.9951276,0.002021866,0.001602184,0.0004865023,0.0004317325,0.0003301271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004595252,0.0002905967,0.7332391,0.0002086442,0.0006543701,0.0004003423,0.0004386254,0.006836429,0.004183447,0.002372551,0.00126919,0.2496473],"study_design_scores_gemma":[0.0000538025,0.0006687588,0.9659741,0.0001117464,0.0003575592,0.0002243704,0.001134274,0.01769837,0.003994988,0.0025299,0.007193332,0.00005874963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915153,0.000734568,0.001987203,0.0005069854,0.00002029071,0.00003359129,0.0001827347,0.00005197464,0.004967221],"genre_scores_gemma":[0.9958715,0.0003809565,0.002726543,0.00006258459,0.00002726154,0.00001023671,0.0001956682,0.00001013195,0.0007150027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006521575,"threshold_uncertainty_score":0.01296723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00761986813846405,"score_gpt":0.2371064050602734,"score_spread":0.2294865369218093,"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."}}