{"id":"W4396918594","doi":"10.1109/isdfs60797.2024.10527295","title":"Multimedia Forensics: Preserving Video Integrity with Blockchain","year":2024,"lang":"en","type":"article","venue":"","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"University of Winnipeg","keywords":"Computer science; Blockchain; Credibility; Video quality; Data integrity; Hash function; Process (computing); Video tracking; Trustworthiness; Video processing; Multimedia; Computer security; Computer hardware","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002318546,0.0001469754,0.0001202862,0.0001464696,0.00004035657,0.0005172765,0.000501367,0.00005737672,0.0000328957],"category_scores_gemma":[0.0001274154,0.0001008256,0.00004856981,0.0005920834,0.00007124671,0.0006849362,0.0002761565,0.0002641528,0.0002104691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005592284,"about_ca_system_score_gemma":0.00008549461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001180665,"about_ca_topic_score_gemma":0.0002888108,"domain_scores_codex":[0.9987431,0.0000216504,0.0001560124,0.0004469251,0.000357638,0.000274659],"domain_scores_gemma":[0.9990599,0.000222346,0.00002136932,0.000492579,0.00007995169,0.0001239265],"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":[0.000008104535,0.0000212578,0.0001186391,0.00005766636,0.00004437515,0.0001272618,0.0009213479,0.00007485162,0.0002503965,0.04627284,0.007867788,0.9442354],"study_design_scores_gemma":[0.0002030586,0.0002373205,0.0002614254,0.0001969015,0.000009530972,0.0001255182,0.0001096968,0.9465759,0.01422541,0.02711357,0.01065047,0.00029119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02857451,0.0001418551,0.9139295,0.001764129,0.002049389,0.0002669838,0.000002213207,0.001839287,0.05143214],"genre_scores_gemma":[0.8226947,0.000001627805,0.1744549,0.0001760694,0.0001656604,0.00002775779,0.000001455984,0.00001704323,0.002460802],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9465011,"threshold_uncertainty_score":0.4988109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273550244349285,"score_gpt":0.2317521052785587,"score_spread":0.2190166028350659,"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."}}