{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003896949,0.0003452589,0.0003781541,0.0002096325,0.0002831028,0.001660546,0.0009042185,0.000151298,0.0001145159],"category_scores_gemma":[0.00004440858,0.0003130364,0.0002075756,0.001333939,0.0001234035,0.001455586,0.0009710555,0.0001932439,0.0007131535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003188719,"about_ca_system_score_gemma":0.0003692837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001015758,"about_ca_topic_score_gemma":0.00004665377,"domain_scores_codex":[0.9975108,0.0000767361,0.0007373626,0.0007996921,0.0003066549,0.00056874],"domain_scores_gemma":[0.9984195,0.0001128791,0.0001630889,0.0008956409,0.0002912821,0.0001175723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000640682,0.00004503852,0.00006413842,0.00009063055,0.00003665722,0.000005050662,0.00006842524,0.000008131595,0.000005751234,0.4962883,0.01709791,0.4862835],"study_design_scores_gemma":[0.001510878,0.0003660258,0.001158484,0.001117413,0.0001274313,0.00006914321,0.0007659821,0.6613234,0.003592737,0.0372634,0.2915424,0.001162727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003885485,0.00007434568,0.5095434,0.0035288,0.004467584,0.0003376149,0.00001391712,0.0003138478,0.4778351],"genre_scores_gemma":[0.9555457,0.00001218478,0.007065448,0.002128216,0.0001269643,0.00002383809,0.00002477307,0.00001299473,0.03505994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9516602,"threshold_uncertainty_score":0.9999322,"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."}}