{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005018716,0.0001142149,0.0001313197,0.0003913119,0.0003690161,0.00007315723,0.0005352007,0.00003656161,0.000020752],"category_scores_gemma":[0.00001024233,0.0001283164,0.00002143413,0.002602991,0.00001329886,0.0002728722,0.0003239823,0.0002051708,0.00004076554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000361263,"about_ca_system_score_gemma":0.00004575504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006662507,"about_ca_topic_score_gemma":4.57007e-7,"domain_scores_codex":[0.9986464,0.00004029159,0.0003739049,0.000355504,0.0004068102,0.0001771148],"domain_scores_gemma":[0.9990169,0.00002664018,0.0002290527,0.0005357105,0.0001744408,0.00001722607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005354268,0.00001369789,0.0000118154,0.00002176628,0.000004774653,0.000002605982,0.0001555935,0.0003149823,0.01412852,0.9652897,0.002543523,0.01750767],"study_design_scores_gemma":[0.001757284,0.0005752686,0.0007202187,0.00006229922,0.00001674368,0.0003770053,0.003446956,0.05400715,0.4030004,0.2099277,0.3242474,0.001861528],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002967304,0.00001005872,0.985121,0.0003177109,0.0005363834,0.0004299992,0.000003215536,0.001788604,0.008825696],"genre_scores_gemma":[0.9548984,1.716958e-7,0.04298251,0.001099442,0.00006033272,0.000805979,0.00001249779,0.00001423281,0.0001263836],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9519311,"threshold_uncertainty_score":0.523259,"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."}}