{"id":"W3039018420","doi":"10.31273/eirj.v7i3.594","title":"DAO, Blockchain and Cryptography","year":2020,"lang":"en","type":"article","venue":"Exchanges The Interdisciplinary Research Journal","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; University College Dublin; European Commission; University College London; University of Warwick; University of Victoria; University of Washington","keywords":"Cryptocurrency; Blockchain; Sociality; Conversation; Computer security; Cryptography; Voting; Corporate governance; Representation (politics); Computer science; Internet privacy; Business; Sociology; Political science; Law; Politics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001409504,0.0004617196,0.0005638715,0.001436301,0.002496424,0.00476616,0.0005968541,0.003985827,0.007060997],"category_scores_gemma":[0.002332371,0.0002551737,0.0002149462,0.002490069,0.01244677,0.007934323,0.003025198,0.004093437,0.001632899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005354121,"about_ca_system_score_gemma":0.002110185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003816602,"about_ca_topic_score_gemma":0.002721772,"domain_scores_codex":[0.998157,0.0008807161,0.00008647014,0.0002764939,0.0003983651,0.0002008801],"domain_scores_gemma":[0.9986686,0.000746363,0.0001875806,0.0001688455,0.0001059737,0.0001226916],"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":[0.00001624032,0.000005779421,0.00006318694,0.00008347583,0.00000229659,0.00005456778,0.0005699987,0.0003748081,0.00006521697,0.984763,0.004625815,0.009375574],"study_design_scores_gemma":[0.000009231555,0.00002394812,0.0001940448,0.0002787784,0.00000274243,0.0001374098,0.0004731002,0.0008147235,0.0001481597,0.7262775,0.2716261,0.00001423461],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02128644,0.2540902,0.03579883,0.1105664,0.00373783,0.00009478979,0.0001290635,0.0001955334,0.5741009],"genre_scores_gemma":[0.7284075,0.1101954,0.007126438,0.01158476,0.004265929,0.0002020076,0.0001106487,0.00008853534,0.1380188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007060997,"threshold_uncertainty_score":0.03884703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06659103436006318,"score_gpt":0.3584533166679704,"score_spread":0.2918622823079072,"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."}}