{"id":"W3159563388","doi":"10.2139/ssrn.3309709","title":"The Fine Print in Smart Contracts","year":2019,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Smart contract; Verifiable secret sharing; Incentive; Payment; Obligation; Blockchain; Observability; Business; Simple (philosophy); Computer security; Microeconomics; Computer science; Economics; Finance; Law","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":[0.003063479,0.0004664124,0.0007881701,0.001196489,0.003069973,0.008255607,0.00103582,0.007195549,0.07505029],"category_scores_gemma":[0.02789309,0.0006085664,0.0004537704,0.001911595,0.007081322,0.0182852,0.003220838,0.006823005,0.01192495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002327617,"about_ca_system_score_gemma":0.001251042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001258688,"about_ca_topic_score_gemma":0.00157266,"domain_scores_codex":[0.9970357,0.0008540684,0.0001296175,0.000474006,0.001307363,0.000199109],"domain_scores_gemma":[0.9909952,0.004166889,0.0004124742,0.003007906,0.001061969,0.0003555341],"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":[0.00002140523,0.000006298321,0.00006944529,0.00002155371,0.000003620853,0.00003325114,0.00009117502,0.0002118425,0.00006179249,0.9556802,0.03356644,0.01023303],"study_design_scores_gemma":[0.000008774258,0.000006020955,0.00007432728,0.00003726193,0.000002383716,0.0000367865,0.0000605887,0.0008594142,0.0001669764,0.9354668,0.06327301,0.000007595646],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01907855,0.005568392,0.08221181,0.1511869,0.01404431,0.00006262574,0.000771702,0.0007913065,0.7262844],"genre_scores_gemma":[0.4278938,0.003242439,0.01200484,0.02386281,0.005133692,0.0001248148,0.0003468446,0.0008223766,0.5265684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07505029,"threshold_uncertainty_score":0.2510682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006731393257438892,"score_gpt":0.232198520692472,"score_spread":0.2254671274350331,"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."}}