{"id":"W2406707922","doi":"","title":"Two Constructions of Authentication Codes with Multiple Arbiters.","year":2014,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Authentication (law); Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001038317,0.00007038879,0.00009264354,0.00001603175,0.00005070948,0.000007898523,0.00009483004,0.00004876131,0.000004235155],"category_scores_gemma":[0.00007863764,0.00005321102,0.00003226881,0.00005903071,0.000116858,0.000001710964,0.00004313321,0.00004144767,0.000002980603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003332648,"about_ca_system_score_gemma":0.00001299821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001030255,"about_ca_topic_score_gemma":0.000005248253,"domain_scores_codex":[0.9995219,0.00004515114,0.0001137802,0.0001584036,0.00005669962,0.0001040918],"domain_scores_gemma":[0.9996128,0.00002953124,0.00007300463,0.0001758086,0.00007477884,0.00003405302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006539268,0.0001120335,0.152285,0.00001437206,0.00004940708,3.507665e-7,0.00003421923,0.00002909314,0.726737,0.1184546,0.0001301189,0.002088374],"study_design_scores_gemma":[0.004211146,0.001933347,0.06076136,0.00006384536,0.00007138802,0.0000338857,0.0002385595,0.002204315,0.8715013,0.05099427,0.007460489,0.000526107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997227,0.00002887095,0.0007429778,0.00003611444,0.0001766831,0.00006753514,0.000002961699,0.00001272299,0.00170517],"genre_scores_gemma":[0.998347,0.000003339577,0.001505634,0.00004104417,0.00001373432,0.000004126016,0.0000377856,0.000005473841,0.00004180233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1447642,"threshold_uncertainty_score":0.2169882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007116645898977458,"score_gpt":0.2298797931981855,"score_spread":0.2227631472992081,"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."}}