{"id":"W2507172686","doi":"10.1007/s10623-017-0336-6","title":"Combinatorial repairability for threshold schemes","year":2017,"lang":"en","type":"preprint","venue":"Designs Codes and Cryptography","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scheme (mathematics); Set (abstract data type); Event (particle physics); Process (computing); Computer science; Protocol (science); Compromise; Mathematics; Mathematical optimization; Theoretical computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001919286,0.0008034146,0.001047383,0.001698206,0.001262775,0.004642302,0.001578113,0.002188357,0.01012151],"category_scores_gemma":[0.01422349,0.0005866071,0.001111132,0.001989473,0.003735377,0.006104481,0.00297349,0.004857643,0.001341658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002691996,"about_ca_system_score_gemma":0.001546587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006902019,"about_ca_topic_score_gemma":0.0005249212,"domain_scores_codex":[0.9972952,0.0007484779,0.0001611499,0.000519552,0.0009320654,0.0003436373],"domain_scores_gemma":[0.9893209,0.006342827,0.001130727,0.002027497,0.00063462,0.0005434406],"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":[0.00005880268,0.00002023292,0.000161435,0.00006223483,0.000008774999,0.00003333491,0.0001061767,0.006631374,0.0006782922,0.984295,0.00119237,0.006752088],"study_design_scores_gemma":[0.00001315334,0.000009602559,0.00004130425,0.00001388127,0.000005563898,0.00003694979,0.00001735669,0.01080992,0.0003878697,0.9877949,0.0008622114,0.000007245835],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.290332,0.002102689,0.6135603,0.006383121,0.0003601792,0.0001482746,0.0009437784,0.0006065647,0.0855631],"genre_scores_gemma":[0.9455652,0.0009685605,0.02860428,0.0006716275,0.0003613094,0.0002050588,0.0005555211,0.0001894494,0.02287899],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01012151,"threshold_uncertainty_score":0.03385985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05425319039236241,"score_gpt":0.3014853999421467,"score_spread":0.2472322095497843,"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."}}