{"id":"W7116439662","doi":"10.18280/ijsse.150907","title":"Hybrid CNN-BiLSTM for Deepfake Voice Detection: A Comparative Study","year":2025,"lang":"","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Poison control; Human factors and ergonomics; Vulnerability (computing); Occupational safety and health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001220238,0.001126288,0.0008785617,0.0008518067,0.0003391719,0.001009856,0.001091937,0.001315997,0.004161949],"category_scores_gemma":[0.002658468,0.0002768433,0.0005076576,0.0004842833,0.0001939047,0.001832512,0.0007266049,0.0006669266,0.001678779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005429113,"about_ca_system_score_gemma":0.0007869314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01214743,"about_ca_topic_score_gemma":0.02168482,"domain_scores_codex":[0.9994036,0.00009487245,0.00003010094,0.00014152,0.0001934206,0.0001365452],"domain_scores_gemma":[0.9991755,0.0002991995,0.00002484747,0.00007682342,0.0003744902,0.00004905613],"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":[0.003582267,0.0007041494,0.009751141,0.0009350762,0.0007639418,0.0003932448,0.0001448042,0.03569423,0.05379809,0.001100293,0.006753123,0.8863796],"study_design_scores_gemma":[0.0001446716,0.002120726,0.02435087,0.0001946184,0.0009231345,0.0009488694,0.0004015632,0.8927072,0.06614613,0.001598327,0.01034883,0.0001150449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8137753,0.0157487,0.1403196,0.0005390413,0.0009929007,0.0001982354,0.002096076,0.005056913,0.02127318],"genre_scores_gemma":[0.9490073,0.001981561,0.03684835,0.0001672301,0.00008831289,0.0000566745,0.002563378,0.0001986938,0.009088487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01214743,"threshold_uncertainty_score":0.02415347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689753593462419,"score_gpt":0.2777137796706393,"score_spread":0.2608162437360151,"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."}}