{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002174159,0.0001189298,0.0002739813,0.0002662431,0.0001839783,0.00008428071,0.003461563,0.0002643642,0.00001203789],"category_scores_gemma":[0.0003102769,0.0001053745,0.0001302964,0.0001686462,0.00067245,0.00006683223,0.002567092,0.0008863273,0.00004829477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002370687,"about_ca_system_score_gemma":0.001260704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009084666,"about_ca_topic_score_gemma":0.00003524034,"domain_scores_codex":[0.9983314,0.0001047174,0.0005698051,0.0004614215,0.000305192,0.0002274585],"domain_scores_gemma":[0.996969,0.001193903,0.0003435696,0.0007918776,0.0006516813,0.00004991485],"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":[0.000005392221,0.00002597291,0.00005690937,0.00003732315,0.00004991897,1.202729e-7,0.00008665671,0.0002658219,0.0001945792,0.9874319,0.007817686,0.004027701],"study_design_scores_gemma":[0.00009057909,0.0000274015,0.0001484866,0.00001385685,0.000001673475,0.0000012436,0.00002719065,0.02967884,0.003767645,0.9590238,0.00714139,0.00007791681],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1607932,0.01724136,0.06975462,0.3918246,0.003912095,0.008530694,0.0009659738,0.0006311962,0.3463462],"genre_scores_gemma":[0.9906792,0.0007113534,0.008192805,0.00003408563,0.0001068558,0.0001673781,0.00002474689,0.000008658962,0.00007492525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.829886,"threshold_uncertainty_score":0.6432503,"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."}}