{"id":"W3194688402","doi":"","title":"Improved Garbled Circuit Building Blocks and Applications to Auctions and Computing Minima.","year":2009,"lang":"en","type":"preprint","venue":"IACR Cryptology ePrint Archive","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; Subtraction; Computation; Maxima and minima; Multiplication (music); Integer (computer science); Adder; Function (biology); Selection (genetic algorithm); Common value auction; Secure multi-party computation; Theoretical computer science; Algorithm; Arithmetic; Mathematics; Artificial intelligence; Programming language; Latency (audio)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004204013,0.0004509524,0.0006072189,0.0005576486,0.0005127994,0.0003113861,0.001178987,0.0002911707,0.000006671142],"category_scores_gemma":[0.0000820543,0.0005059505,0.0001436628,0.0003365295,0.0003375807,0.0001276356,0.004611874,0.001086841,0.000007437518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003615217,"about_ca_system_score_gemma":0.0001222121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000783136,"about_ca_topic_score_gemma":0.00008559649,"domain_scores_codex":[0.9968318,0.0001856026,0.0005494976,0.001672186,0.0001623494,0.0005985328],"domain_scores_gemma":[0.9974169,0.0004707911,0.000278022,0.00133366,0.00009895035,0.0004016345],"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":[0.00001156637,0.00009032431,0.0007520922,0.00005939782,0.00008099222,0.000009756728,0.001998018,0.0001231036,0.002335009,0.9368401,0.000143782,0.0575559],"study_design_scores_gemma":[0.0003537448,0.00008730462,0.01201203,0.00008721147,0.00005294835,0.0001616985,0.00007688045,0.01550915,0.0002958449,0.9667467,0.004049601,0.000566843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03962118,0.0003498001,0.9557599,0.001435364,0.0002818252,0.001155518,0.00009397558,0.0003198181,0.0009826371],"genre_scores_gemma":[0.1573561,0.0001419006,0.8416182,0.0004355499,0.0002162086,0.0001737325,0.00004097453,0.00001702471,2.979246e-7],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1177349,"threshold_uncertainty_score":0.9997392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169894846260855,"score_gpt":0.2754775934787398,"score_spread":0.2584881088526543,"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."}}