{"id":"W7129029331","doi":"10.1109/iemcon67450.2025.11381266","title":"Da Vinci: A Forensic Tool Recommendation System","year":2025,"lang":"","type":"article","venue":"","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Digital forensics; Android (operating system); Expert system; Visualization; Realm; Recommender system; Emerging technologies","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":[0.001745247,0.00385197,0.001915265,0.009712799,0.001402443,0.00335067,0.003590622,0.002005726,0.03295349],"category_scores_gemma":[0.008186551,0.001857722,0.001117587,0.003758925,0.000340242,0.003822929,0.004062884,0.001798039,0.04469612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009580831,"about_ca_system_score_gemma":0.001342814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005150597,"about_ca_topic_score_gemma":0.007010823,"domain_scores_codex":[0.9984533,0.0001721921,0.0002167994,0.000439554,0.0005995005,0.00011876],"domain_scores_gemma":[0.9966362,0.0005535903,0.0003739112,0.0009960444,0.0009715256,0.0004687934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001349352,0.0003509071,0.004670238,0.0009396523,0.0002625395,0.0007813726,0.0003020772,0.002326485,0.01145503,0.00321269,0.5602486,0.414101],"study_design_scores_gemma":[0.0004654119,0.0003897428,0.01303596,0.0006123807,0.0003415023,0.002924564,0.0004149265,0.1267223,0.03484978,0.01359087,0.8057854,0.0008671038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.008204413,0.002505592,0.1724864,0.0004880717,0.000359894,0.001102166,0.03792871,0.7516024,0.0253225],"genre_scores_gemma":[0.1146762,0.004617204,0.4747772,0.001868926,0.0005206299,0.002499291,0.2887477,0.03812137,0.07417148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03295349,"threshold_uncertainty_score":0.1102405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291133944254463,"score_gpt":0.2324734665092725,"score_spread":0.2195621270667279,"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."}}