{"id":"W2904815806","doi":"10.1007/978-3-319-93809-7_20","title":"Incentive Compatibility on the Blockchain","year":2019,"lang":"en","type":"book-chapter","venue":"Studies in economic design","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Bank of Canada","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Blockchain; Incentive; Ledger; Incentive compatibility; Cheating; Computer security; Proof-of-work system; Computer science; Smart contract; Protocol (science); Business; Microeconomics; Economics; Accounting","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001023422,0.000317596,0.0005351755,0.0001511875,0.000168461,0.00002690181,0.00151668,0.0002479082,0.00004174766],"category_scores_gemma":[0.00004115331,0.0002444694,0.0001016188,0.00003817284,0.0005510395,0.00002961402,0.0007060893,0.0005925218,0.0007734755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005216969,"about_ca_system_score_gemma":0.0001234003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009303519,"about_ca_topic_score_gemma":0.00006322926,"domain_scores_codex":[0.9983869,0.00007745251,0.0004334562,0.0007639502,0.00008552268,0.0002527749],"domain_scores_gemma":[0.9968669,0.001192745,0.0002783508,0.001595205,0.0000442064,0.00002255976],"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":[0.000005475551,0.00001824112,0.00002028582,0.00000923409,0.0001064367,0.000002900943,0.0004667484,0.0003811402,3.218183e-7,0.9877893,0.00660815,0.004591755],"study_design_scores_gemma":[0.0002579865,0.0001318119,0.00005896036,0.0001176042,0.00001312702,0.000003057845,0.0001287899,0.01930449,0.00006974416,0.9482117,0.03127069,0.00043201],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003032411,0.0057651,0.05827912,0.01294519,0.003572599,0.006399662,0.00008956308,0.0006619523,0.9092544],"genre_scores_gemma":[0.8310899,0.002484116,0.009394266,0.002775607,0.0003087105,0.0006039394,0.000006788543,0.0001052453,0.1532314],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8280575,"threshold_uncertainty_score":0.9969174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07303097811343585,"score_gpt":0.2831162037756401,"score_spread":0.2100852256622043,"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."}}