{"id":"W4385480920","doi":"10.3390/jrfm16080360","title":"Exploring Blockchain Technology for Chain of Custody Control in Physical Evidence: A Systematic Literature Review","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Blockchain; Digital forensics; Digital evidence; Systematic review; Risk analysis (engineering); Control (management); Computer science; Data science; Business; Computer security; Management science; Engineering ethics; Engineering; Political science; Law; MEDLINE","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001518285,0.0001009345,0.0005134796,0.0006703266,0.00006043728,0.00001538746,0.0004884975,0.000062221,1.004649e-7],"category_scores_gemma":[0.0003612997,0.00007896838,0.00009930832,0.001678442,0.0000430343,0.0001089148,0.0001362096,0.0002357938,8.542147e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002137366,"about_ca_system_score_gemma":0.00001609769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001008815,"about_ca_topic_score_gemma":0.000002040014,"domain_scores_codex":[0.998936,0.0000595856,0.000511487,0.0001681054,0.0001567503,0.0001680814],"domain_scores_gemma":[0.9989523,0.000196383,0.0004165869,0.000281302,0.0001265114,0.00002693324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00005961602,0.0003156645,0.0008657415,0.06451069,0.00007237396,0.0001914689,0.002488642,0.0001863855,0.0001222299,0.649129,0.0006021786,0.2814561],"study_design_scores_gemma":[0.00811137,0.00255363,0.0148999,0.4352361,0.001034969,0.0002986709,0.001662721,0.1328148,0.0006227717,0.3912926,0.01025057,0.001221956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2490787,0.116676,0.6249572,0.006069811,0.0003162626,0.002760973,0.0000116155,0.0001161855,0.00001321737],"genre_scores_gemma":[0.924971,0.07143082,0.003163513,0.00008116174,0.00004262203,0.0002992592,1.546847e-7,0.000004432242,0.000007005654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6758923,"threshold_uncertainty_score":0.3220237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131150391781669,"score_gpt":0.2590726049485022,"score_spread":0.2377611010306855,"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."}}