{"id":"W4396826777","doi":"10.55041/ijsrem33801","title":"Identification of Counterfeit Videos using Deep Learning Methodology","year":2024,"lang":"en","type":"article","venue":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Deep learning; Recurrent neural network; Artificial intelligence; Leverage (statistics); Convolutional neural network; Credibility; Machine learning; Software deployment; Pattern recognition (psychology); Artificial neural network","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":[0.000781895,0.001223664,0.0006302086,0.002161435,0.0003192742,0.001123227,0.0009684316,0.0009785501,0.001649712],"category_scores_gemma":[0.00317983,0.0003929686,0.0006639918,0.0007300552,0.0004210879,0.00159095,0.0007531547,0.001418104,0.0008122834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193703,"about_ca_system_score_gemma":0.0008950296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006393656,"about_ca_topic_score_gemma":0.007114072,"domain_scores_codex":[0.9994712,0.000100774,0.00003420245,0.0001396851,0.0001549065,0.00009920733],"domain_scores_gemma":[0.9988644,0.000310589,0.0002748862,0.000179982,0.0003104968,0.00005949163],"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":[0.0002967367,0.0003824726,0.01564171,0.0003528482,0.0002269187,0.000589054,0.0001625466,0.2372322,0.02317575,0.01122034,0.009314924,0.7014045],"study_design_scores_gemma":[0.000003140321,0.00002839541,0.0009743251,0.00002027757,0.000008295505,0.00005672881,0.00002443646,0.9914868,0.00410249,0.002499328,0.0007878855,0.000007865382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1721603,0.002037368,0.8144704,0.0008479596,0.0001530263,0.000252513,0.001262369,0.003609225,0.005206873],"genre_scores_gemma":[0.8218223,0.0007795892,0.1691643,0.0002201381,0.00009141956,0.0001064048,0.001986825,0.00009686054,0.005732256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006393656,"threshold_uncertainty_score":0.01271284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08525273530843322,"score_gpt":0.3738012177668186,"score_spread":0.2885484824583854,"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."}}