{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008547788,0.0001219871,0.0002874315,0.0005390996,0.0001412739,0.00008390329,0.00209921,0.0003914704,0.00002558184],"category_scores_gemma":[0.0009511147,0.00009870455,0.00008242863,0.0002909147,0.000267784,0.00008978934,0.0006126239,0.001096236,0.0001803868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009806772,"about_ca_system_score_gemma":0.003966201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007606354,"about_ca_topic_score_gemma":0.001182864,"domain_scores_codex":[0.9975525,0.0001185888,0.0005786753,0.0004841892,0.0009147302,0.0003513115],"domain_scores_gemma":[0.995854,0.001838388,0.0002489423,0.0008638036,0.001153984,0.00004094892],"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":[0.000004482319,0.00004907304,0.0005870359,0.00001841282,0.00002775717,0.000001297682,0.0000169356,0.0000644091,0.00001421145,0.9730594,0.0146616,0.01149536],"study_design_scores_gemma":[0.0002881179,0.00004864865,0.00490946,0.00004499691,0.000001375527,0.00001774993,0.000007838539,0.008793969,0.0002007226,0.7321548,0.2533904,0.0001419281],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00881032,0.003079576,0.0006380376,0.02372365,0.001107032,0.002271626,0.00004209817,0.00008174913,0.9602459],"genre_scores_gemma":[0.9916622,0.001333733,0.0007264417,0.00001861878,0.0001607363,0.0002929504,0.0000403358,0.00001404472,0.005750925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9828519,"threshold_uncertainty_score":0.7035871,"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."}}