{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005563108,0.00005463569,0.00007867121,0.00002121639,0.0002322171,0.00003981154,0.001166025,0.00003803197,0.00000115162],"category_scores_gemma":[0.00003369723,0.00003887257,0.0000538478,0.0001659076,0.00008464635,0.00007597562,0.0001149981,0.0008084266,0.00001126523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007334004,"about_ca_system_score_gemma":0.0006338202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002413757,"about_ca_topic_score_gemma":0.00003013161,"domain_scores_codex":[0.9989901,0.0000217048,0.0001790978,0.0001056099,0.00006001772,0.0006434913],"domain_scores_gemma":[0.999531,0.00005005155,0.0001305174,0.0002057466,0.00004945961,0.00003323542],"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":[0.000001866102,0.000007165479,0.00008742103,7.642552e-7,0.00001888476,1.021367e-7,0.0001025539,0.000004548714,0.0002890124,0.9387152,0.0001705794,0.06060192],"study_design_scores_gemma":[0.0001604177,0.0001393722,0.00008056312,0.000001598469,0.000004155089,0.00008460174,0.0004276833,0.00453209,0.00203086,0.9597975,0.03266951,0.00007164952],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09790214,0.006684583,0.8431116,0.05168909,0.00009489475,0.0001020432,9.063378e-7,0.00007173129,0.0003430592],"genre_scores_gemma":[0.9945937,0.003519349,0.00159099,0.0002163739,0.00004822705,0.0000037124,1.153048e-7,0.000003072099,0.00002446787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8966916,"threshold_uncertainty_score":0.3512256,"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."}}