{"id":"W4294287235","doi":"10.1257/jel.20201593","title":"The Microeconomics of Cryptocurrencies","year":2022,"lang":"en","type":"article","venue":"Journal of Economic Literature","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cryptocurrency; Economics; Competition (biology); Phenomenon; Supply and demand; Neoclassical economics; Microeconomics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005629225,0.00005755336,0.0001375092,0.00009627003,0.0002270663,0.00008330425,0.001337154,0.00003596396,0.00001291837],"category_scores_gemma":[0.0000112348,0.00004249119,0.0001049872,0.0001086775,0.00005861657,0.0001678137,0.0002631492,0.000383511,0.000001769206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000797562,"about_ca_system_score_gemma":0.0001203783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.09857e-7,"about_ca_topic_score_gemma":0.000001203338,"domain_scores_codex":[0.9993518,0.00003777767,0.0003823527,0.00008773496,0.00004371962,0.0000965977],"domain_scores_gemma":[0.9989325,0.0001135576,0.0005307691,0.0003430186,0.00005560886,0.00002455256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001441448,0.00004635939,0.0003898928,0.000005955751,0.00005481478,0.000004140651,0.001193,0.0004474925,0.0003779928,0.9628482,0.02177031,0.01284742],"study_design_scores_gemma":[0.000487775,0.0002525552,0.0006339384,0.00001416778,0.00000959136,0.0007165463,0.0003501448,0.00604554,0.00252958,0.2282102,0.7606016,0.0001482784],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371942,0.02190839,0.009787924,0.02661654,0.002853541,0.0002410633,0.00006589284,0.00003740157,0.001295056],"genre_scores_gemma":[0.9939734,0.0002633388,0.005365972,0.0001957161,0.00008847683,0.000008223807,7.523303e-7,0.000003665702,0.0001004572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7388313,"threshold_uncertainty_score":0.2484787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005373115648154334,"score_gpt":0.2131406493287546,"score_spread":0.2077675336806002,"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."}}