{"id":"W4385009000","doi":"10.1007/978-3-031-32415-4_29","title":"Fides: A System for Verifiable Computation Using Smart Contracts","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Server; Verifiable secret sharing; Delegation; Computation; Smart contract; Cryptography; Theoretical computer science; Secret sharing; Cloud computing; Protocol (science); Computer security; Distributed computing; Database transaction; Computer network; Operating system; Algorithm; Database; Programming language","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":[0.00225136,0.0009651502,0.00108233,0.001321681,0.001125763,0.003258835,0.002790627,0.001842118,0.02941671],"category_scores_gemma":[0.005479623,0.001173126,0.0008872071,0.001102946,0.002302079,0.007904505,0.005213006,0.003488201,0.01125528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009146311,"about_ca_system_score_gemma":0.001454674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007214696,"about_ca_topic_score_gemma":0.0007374117,"domain_scores_codex":[0.9981447,0.0004588318,0.000129023,0.000284733,0.0007379054,0.0002447364],"domain_scores_gemma":[0.9973871,0.0008483013,0.000121716,0.001274023,0.0002087944,0.000160069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001841817,0.000235844,0.000849972,0.0004717208,0.0001017947,0.0002805207,0.0006529659,0.009724568,0.01947877,0.5700305,0.1230663,0.2732653],"study_design_scores_gemma":[0.0005484404,0.0003040463,0.0004805398,0.000156892,0.0001270349,0.0005839185,0.0001038688,0.2099607,0.06992941,0.3945279,0.3230795,0.0001977408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009933753,0.0004623152,0.8990787,0.0006157061,0.0004955242,0.0002867611,0.001061425,0.06250057,0.02556538],"genre_scores_gemma":[0.3635729,0.001013934,0.5131329,0.001592915,0.0005308396,0.001000572,0.003654985,0.01333349,0.1021674],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02941671,"threshold_uncertainty_score":0.0984087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03359754693691474,"score_gpt":0.2690848659029016,"score_spread":0.2354873189659868,"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."}}