{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001310912,0.0009970312,0.000935565,0.004089167,0.000874977,0.001779497,0.002076817,0.001351208,0.01719088],"category_scores_gemma":[0.006578344,0.0006886087,0.0009346837,0.001239935,0.0005068994,0.002135418,0.002174404,0.001389904,0.01280641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007350644,"about_ca_system_score_gemma":0.001915499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00271088,"about_ca_topic_score_gemma":0.00417045,"domain_scores_codex":[0.9979413,0.0002268402,0.0001661237,0.0003972135,0.00101897,0.0002496625],"domain_scores_gemma":[0.9965225,0.0006942846,0.000283751,0.0009347402,0.001354528,0.0002101253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005024932,0.000394701,0.00769159,0.0003664946,0.0001231592,0.0007031597,0.0002994834,0.01541475,0.03751864,0.007332898,0.1235113,0.8061414],"study_design_scores_gemma":[0.00008165385,0.0003006088,0.0073241,0.0001192983,0.00008531207,0.001904381,0.0003564824,0.6377338,0.2354435,0.01786602,0.09862087,0.0001639132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03598026,0.0002419066,0.7218716,0.0004927727,0.0004885974,0.0005629922,0.004788565,0.2268302,0.008743054],"genre_scores_gemma":[0.3346725,0.0002380396,0.5998171,0.0004099097,0.0001307993,0.0006064402,0.02098418,0.009580657,0.03356041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01719088,"threshold_uncertainty_score":0.05750918,"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."}}