{"id":"W4289110637","doi":"10.3390/asi5040075","title":"AI Makes Crypto Evolve","year":2022,"lang":"en","type":"article","venue":"Applied System Innovation","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Associazione Italiana per la Ricerca sul Cancro","keywords":"Cryptography; Coevolution; Path (computing); Computer science; Artificial intelligence; Theoretical computer science; Computer security; Evolutionary biology; Biology; Programming language","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":[0.00357919,0.0004517794,0.0004157339,0.001307436,0.001429064,0.004394808,0.0006864294,0.002331658,0.005796373],"category_scores_gemma":[0.008949954,0.0002873396,0.0004820883,0.0008383723,0.00881985,0.01182053,0.002869042,0.004150146,0.001871126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002002782,"about_ca_system_score_gemma":0.002067461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008710365,"about_ca_topic_score_gemma":0.0006540889,"domain_scores_codex":[0.9980384,0.0007423204,0.00008938502,0.000355276,0.0005581361,0.0002166655],"domain_scores_gemma":[0.9942997,0.003304407,0.0004059739,0.0009641857,0.0007776808,0.0002481503],"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":[0.00002751873,0.00001447783,0.000370848,0.0001742059,0.00002135583,0.0001159227,0.0005015525,0.0008679996,0.0006706217,0.959116,0.003195323,0.03492409],"study_design_scores_gemma":[0.00001679662,0.00004667825,0.0005052302,0.0002833956,0.00001858887,0.0002727049,0.0003607253,0.001490248,0.001157607,0.7935848,0.2022336,0.00002964736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06745577,0.1104744,0.1960163,0.1565114,0.005801777,0.0001533327,0.0004217821,0.0007429246,0.4624223],"genre_scores_gemma":[0.7843902,0.07513537,0.0688028,0.01843219,0.003752392,0.0001933236,0.0002851567,0.000420106,0.0485885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005796373,"threshold_uncertainty_score":0.01939082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009779619122800079,"score_gpt":0.2337227830087934,"score_spread":0.2239431638859933,"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."}}