{"id":"W2914773046","doi":"10.3386/w27477","title":"The Microeconomics of Cryptocurrencies","year":2020,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cryptocurrency; Economics; Microeconomics; Industrial organization; Computer science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001929739,0.0002219638,0.0004907692,0.001071139,0.0009857969,0.004388843,0.0004956191,0.001388179,0.006829981],"category_scores_gemma":[0.00856507,0.0003184656,0.0002788284,0.001147322,0.003692833,0.005149051,0.001223818,0.001728912,0.0005113625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003275533,"about_ca_system_score_gemma":0.001613027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002849001,"about_ca_topic_score_gemma":0.002307,"domain_scores_codex":[0.9989719,0.0004933238,0.00003705453,0.000119658,0.0002461674,0.0001318483],"domain_scores_gemma":[0.995004,0.003314243,0.0006516312,0.0003238928,0.0003646537,0.0003416432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004189249,0.00003260958,0.001278232,0.00007686347,0.00001441189,0.00008723862,0.00009761954,0.01366924,0.0002619517,0.9744006,0.002180105,0.007859197],"study_design_scores_gemma":[0.00001782568,0.00002569714,0.001884009,0.00009046998,0.000007269665,0.00006788748,0.0002105626,0.0195806,0.0002551238,0.964609,0.01323119,0.00002045099],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4562222,0.03822908,0.09047663,0.06367955,0.0006582533,0.0001923461,0.001136176,0.0001826023,0.3492233],"genre_scores_gemma":[0.9820746,0.006964319,0.001808848,0.0003829584,0.0002210255,0.00004768807,0.00006774093,0.0000186647,0.008414223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006829981,"threshold_uncertainty_score":0.02376574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2367480971056616,"score_gpt":0.4617171019059871,"score_spread":0.2249690048003255,"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."}}