{"id":"W2113265444","doi":"10.1109/isita.2010.5649672","title":"A secure authentication system based on variable-length codes","year":2010,"lang":"en","type":"article","venue":"","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Code word; Computer science; Code (set theory); Message authentication code; Authentication (law); Permutation (music); Protocol (science); Table (database); Lookup table; Theoretical computer science; Variable (mathematics); Computer network; Cryptography; Algorithm; Computer security; Mathematics; Set (abstract data type); Decoding methods; Data mining","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":[0.001145269,0.0004401726,0.0007034299,0.0009976242,0.001406482,0.001874807,0.0011868,0.001130532,0.003358512],"category_scores_gemma":[0.002667955,0.0003614467,0.0004345868,0.0009764815,0.001483502,0.003085003,0.002447416,0.001136162,0.001851554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00115,"about_ca_system_score_gemma":0.001629084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001312081,"about_ca_topic_score_gemma":0.0009364987,"domain_scores_codex":[0.9981382,0.0004494614,0.0001260499,0.0002601204,0.0007665528,0.0002596423],"domain_scores_gemma":[0.9976804,0.0006486104,0.0002748548,0.000674894,0.0005324372,0.0001887546],"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":[0.00160813,0.0001816511,0.001254798,0.0003185681,0.00008620797,0.0007830674,0.0006463125,0.04749852,0.1022004,0.6685465,0.01073633,0.1661395],"study_design_scores_gemma":[0.0004707821,0.0007931062,0.0006961222,0.0001071783,0.0001346018,0.0009370602,0.00007953572,0.6353454,0.1085208,0.1621975,0.09044852,0.0002693543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04790357,0.0006414166,0.9356463,0.0006450207,0.0003099627,0.0002595334,0.0001415724,0.004040527,0.01041219],"genre_scores_gemma":[0.7433098,0.0005906019,0.2378131,0.0002932513,0.0002552578,0.0003215162,0.0003845566,0.0002031405,0.01682882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003358512,"threshold_uncertainty_score":0.01123536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005368624861761499,"score_gpt":0.2186863295449993,"score_spread":0.2133177046832378,"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."}}