{"id":"W3142780887","doi":"10.2139/ssrn.3644078","title":"The Microeconomics of Cryptocurrencies","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cryptocurrency; Economics; Microeconomics; Mathematical economics; Neoclassical economics; Computer science; Computer security","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":[0.002904454,0.0002683367,0.0006751218,0.001197799,0.001424539,0.006392654,0.0009012175,0.002481784,0.01894398],"category_scores_gemma":[0.01396719,0.0004534711,0.0003263431,0.001244756,0.005244991,0.006461889,0.001459055,0.002480733,0.0007452116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00464698,"about_ca_system_score_gemma":0.002875303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004264264,"about_ca_topic_score_gemma":0.005339534,"domain_scores_codex":[0.9985408,0.0006812589,0.0000422284,0.0001305002,0.0003528973,0.0002522938],"domain_scores_gemma":[0.9910761,0.006114169,0.0008458713,0.0006778991,0.0006682229,0.0006176499],"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":[0.00004462866,0.00002846342,0.0005956416,0.00003261219,0.0000116195,0.00005528022,0.0000624777,0.009679509,0.0001068582,0.9826612,0.001717447,0.005004221],"study_design_scores_gemma":[0.00002244052,0.00002013106,0.0005718993,0.00003068374,0.000006652971,0.00003970479,0.000148128,0.01486719,0.0001059674,0.977856,0.006319475,0.0000116115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3245023,0.009961035,0.07805264,0.04649502,0.0005021035,0.0001843721,0.0006549595,0.0001486653,0.5394988],"genre_scores_gemma":[0.9831039,0.001334211,0.0009459769,0.0002501553,0.0001330923,0.00003130025,0.00002477345,0.00001343128,0.01416318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01894398,"threshold_uncertainty_score":0.06337398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007751113604582221,"score_gpt":0.2099592497612492,"score_spread":0.202208136156667,"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."}}