{"id":"W4413103219","doi":"10.2139/ssrn.5368369","title":"Securing Forensic Data with Cryptographic Techniques","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Cryptography; Computer security; Computer science; Forensic science; Geography; Archaeology","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":[0.002410642,0.001127906,0.0008454778,0.002849052,0.001475311,0.003697872,0.001191649,0.002739463,0.005982365],"category_scores_gemma":[0.01422108,0.0007476136,0.0009905287,0.002391937,0.002330699,0.007389417,0.005324866,0.00346196,0.004119523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005110143,"about_ca_system_score_gemma":0.001059201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007608259,"about_ca_topic_score_gemma":0.0000811154,"domain_scores_codex":[0.9958348,0.001109256,0.0003088562,0.0003692977,0.002028849,0.0003489095],"domain_scores_gemma":[0.9889503,0.00361764,0.001313528,0.005197202,0.0007887696,0.0001324468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001029087,0.0003694873,0.003325406,0.001233248,0.0003074258,0.001069966,0.0006264056,0.02063232,0.1018103,0.3541147,0.01044525,0.5050364],"study_design_scores_gemma":[0.0002060798,0.000811502,0.001814243,0.0009704441,0.0003473415,0.01052559,0.0007060491,0.1983949,0.3223918,0.4102146,0.05343262,0.0001848436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05240169,0.00360242,0.91342,0.002872556,0.0005454562,0.000277531,0.0002475796,0.001045366,0.02558734],"genre_scores_gemma":[0.7095672,0.003366613,0.27633,0.0005156217,0.0005554081,0.0001624764,0.0003769217,0.0001397719,0.00898604],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005982365,"threshold_uncertainty_score":0.02001303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211950920423871,"score_gpt":0.2424698646118457,"score_spread":0.230350355407607,"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."}}