{"id":"W4402067558","doi":"10.18280/ijsse.140417","title":"Digital Forensics in Google Drive: Techniques for Extracting and Analyzing Digital Artifacts","year":2024,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Digital forensics; Computer science; Computer security","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":[0.0004038758,0.0007111209,0.0003739204,0.00430716,0.000894368,0.001900623,0.0008273701,0.001032737,0.002349093],"category_scores_gemma":[0.001698208,0.0003246577,0.0004218287,0.002730093,0.0005852409,0.001905919,0.001548427,0.000523895,0.001703133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000304424,"about_ca_system_score_gemma":0.0008383488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002788613,"about_ca_topic_score_gemma":0.005729255,"domain_scores_codex":[0.9995046,0.00003948571,0.00002577094,0.00005962999,0.0002907876,0.00007972818],"domain_scores_gemma":[0.9992484,0.0001536067,0.0001040186,0.0001970246,0.0002573656,0.0000394536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004746648,0.0001399944,0.01307733,0.0008502615,0.0001102689,0.002767093,0.002723066,0.004001534,0.1192957,0.01031381,0.01573065,0.8305158],"study_design_scores_gemma":[0.00009884571,0.0003046873,0.05813073,0.0006702804,0.0003483735,0.01797938,0.00765784,0.2026724,0.4994085,0.03051858,0.1819577,0.0002527445],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3181484,0.00513456,0.6238658,0.001191192,0.000289399,0.0005934826,0.003674554,0.01587281,0.03122976],"genre_scores_gemma":[0.6798237,0.002846698,0.3043441,0.0001493889,0.00008237971,0.0001386889,0.001712544,0.0005959656,0.01030649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00430716,"threshold_uncertainty_score":0.007858455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005175586110406707,"score_gpt":0.2265226295590287,"score_spread":0.221347043448622,"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."}}