{"id":"W2908614216","doi":"10.3386/w25443","title":"The Fine Print in Smart Contracts","year":2019,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Computer science","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":[0.007714057,0.0004743797,0.0006571735,0.0008126632,0.002581217,0.006993672,0.001040264,0.00445232,0.02036],"category_scores_gemma":[0.02830538,0.0006210003,0.0007248403,0.001441475,0.01246285,0.01857231,0.004929665,0.007035357,0.003508051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002058639,"about_ca_system_score_gemma":0.002315948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00106327,"about_ca_topic_score_gemma":0.001009265,"domain_scores_codex":[0.9923444,0.002934987,0.0002812644,0.001098919,0.002928643,0.0004116633],"domain_scores_gemma":[0.9776664,0.01256877,0.001198039,0.006597838,0.001349303,0.0006198458],"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":[0.0000285746,0.00001127798,0.000119951,0.00003408023,0.000004203126,0.00005085314,0.0001684927,0.001261726,0.0002335765,0.9814026,0.003628276,0.0130565],"study_design_scores_gemma":[0.0000144584,0.00002832405,0.00009446339,0.00007955458,0.000004026449,0.00008175344,0.00009709924,0.003383195,0.0005554673,0.9455805,0.05006833,0.00001280627],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04558297,0.006595658,0.4007435,0.07071336,0.001899281,0.0002119374,0.0005391278,0.0006738496,0.4730403],"genre_scores_gemma":[0.7894275,0.006753908,0.1034431,0.008319519,0.001263134,0.0004852654,0.0003452651,0.0004218102,0.08954054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02036,"threshold_uncertainty_score":0.06811094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2201456275499318,"score_gpt":0.475560697671214,"score_spread":0.2554150701212822,"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."}}