{"id":"W4392423990","doi":"10.6000/1929-4409.2020.09.359","title":"Efficiency of Using Cryptocurrencies as an Investment Asset","year":2021,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"Business and Economic Development","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cryptocurrency; Asset (computer security); Investment (military); Business; Monetary economics; Financial system; Economics; Computer science; Computer security; Law","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":[0.00575661,0.0006770713,0.0007053276,0.001753041,0.0001781218,0.00239598,0.0005401153,0.0006042554,0.001041112],"category_scores_gemma":[0.01644566,0.0002123104,0.0004769349,0.001314876,0.0005709684,0.00207348,0.0008816439,0.0004410492,0.0003112947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000901488,"about_ca_system_score_gemma":0.0006485089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009154227,"about_ca_topic_score_gemma":0.0007354285,"domain_scores_codex":[0.9962799,0.001295521,0.0002815953,0.0003694162,0.00144001,0.0003335861],"domain_scores_gemma":[0.9896789,0.005703072,0.002372245,0.001245819,0.0007746353,0.0002254302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003014293,0.0008379914,0.1526641,0.0007526245,0.0008606064,0.0008549424,0.0002258395,0.4388989,0.04055491,0.02370756,0.0009362196,0.3366921],"study_design_scores_gemma":[0.000272181,0.007814409,0.1716393,0.0003406236,0.0009919296,0.001574971,0.0007195313,0.6794423,0.1089178,0.01638571,0.01175203,0.0001491672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658915,0.002102399,0.01903342,0.0001786393,0.00002533605,0.00009364454,0.0001119435,0.00009479737,0.01246836],"genre_scores_gemma":[0.993383,0.0003749163,0.005426286,0.00001479799,0.00001006212,0.00001304272,0.00006616908,0.00001264028,0.0006989887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00575661,"threshold_uncertainty_score":0.03044426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06504843080904975,"score_gpt":0.3103508858862141,"score_spread":0.2453024550771643,"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."}}