{"id":"W4385387792","doi":"10.18280/ria.370325","title":"A Novel Approach for Ticket Generation and Validation Using RSA and Keccak Algorithms","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ticket; Computer science; Algorithm; 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":[0.0005190145,0.0001072005,0.0001180477,0.0001471913,0.0002619137,0.0002353747,0.0001982708,0.00005951316,0.000002609214],"category_scores_gemma":[0.00006256421,0.0001097782,0.00003742939,0.0006012308,0.0000624863,0.0004415899,0.0001499522,0.00006343903,0.000005982433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001117477,"about_ca_system_score_gemma":0.00001772202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002945273,"about_ca_topic_score_gemma":0.00000314354,"domain_scores_codex":[0.9989951,0.00002301748,0.0002205841,0.0004466876,0.0001015863,0.0002129768],"domain_scores_gemma":[0.9993939,0.00009768555,0.00006375382,0.0003066206,0.00006888725,0.00006911039],"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":[0.00002471893,0.000380151,0.0006604702,0.0004067926,0.00005729915,0.000005669555,0.01035559,0.05648651,0.2232546,0.3708563,0.001279224,0.3362327],"study_design_scores_gemma":[0.00004684748,0.00004181208,0.00004744277,0.00001122823,0.000008124491,0.00002293481,0.0002224116,0.9658892,0.02999407,0.002903294,0.00067902,0.0001336604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0618742,0.0001297037,0.9372298,0.0001468614,0.0001472911,0.000287953,0.00002375391,0.00009399743,0.00006645194],"genre_scores_gemma":[0.5107251,0.0001539402,0.4886446,0.00006970517,0.000184924,0.00004689175,0.0001233142,0.00001267881,0.00003879322],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9094027,"threshold_uncertainty_score":0.4476624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1272136738124161,"score_gpt":0.3084807319716128,"score_spread":0.1812670581591967,"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."}}