{"id":"W6926331820","doi":"10.24941/ijcr.44849.02.2023","title":"Crimeware Toolkit Signature Generation and Detection using Machine Learning","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Violence, Education, and Gender Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Signature (topology); Feature (linguistics); Identification (biology); Support vector machine; Key (lock)","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003419467,0.0001099286,0.0001136164,0.0001319879,0.002316139,0.0002248619,0.0001876465,0.0001034749,0.00004573637],"category_scores_gemma":[0.001118678,0.0001189231,0.00004413741,0.0006663521,0.0001776821,0.0002492722,0.00007804899,0.0001939132,0.00001723836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007104386,"about_ca_system_score_gemma":0.0001433055,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00572504,"about_ca_topic_score_gemma":0.02671866,"domain_scores_codex":[0.9965192,0.002499181,0.0001716749,0.0003076996,0.0002624719,0.000239785],"domain_scores_gemma":[0.9984799,0.0003968756,0.0001202419,0.0002488171,0.0006635775,0.0000905999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001510417,0.0003086292,0.08464291,0.0001161554,0.0001260452,0.000004518123,0.5652364,0.0005044545,0.04618475,0.08350164,0.001436375,0.217923],"study_design_scores_gemma":[0.00188015,0.000004917802,0.1195471,0.001237402,0.0002442827,0.00002144198,0.07193789,0.33028,0.122356,0.009349082,0.3409756,0.002166175],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590194,0.002038472,0.01800644,0.005837226,0.0003891157,0.0002600112,0.000008033659,0.000383539,0.01405783],"genre_scores_gemma":[0.9881426,0.001788752,0.002202009,0.00004035269,0.00008525296,0.00001196237,0.00006081861,0.00001392453,0.007654305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4932985,"threshold_uncertainty_score":0.9989827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03273585880963211,"score_gpt":0.2784265071603341,"score_spread":0.245690648350702,"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."}}