{"id":"W4361267500","doi":"10.18280/ijsse.130102","title":"Mobile Forensic Tools for Digital Crime Investigation: Comparison and Evaluation","year":2023,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forensic science; Digital forensics; Computer science; Computer security; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003218609,0.00007201205,0.0001177654,0.0001173159,0.00003128207,0.000409248,0.0001955044,0.00002859491,9.739971e-7],"category_scores_gemma":[0.0001573593,0.0000673941,0.00004452851,0.0001041434,0.00002603847,0.001605046,0.00009442224,0.00007583519,0.000001532419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003005861,"about_ca_system_score_gemma":0.00003189796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.353256e-7,"about_ca_topic_score_gemma":3.720662e-7,"domain_scores_codex":[0.9992048,0.000005289777,0.0002765441,0.00009557764,0.0003275284,0.00009021763],"domain_scores_gemma":[0.9992887,0.0001640827,0.00009986181,0.00005156128,0.000326623,0.00006915879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009402135,0.00005000713,0.001177971,0.00006928178,0.0002505581,0.0000244485,0.006402748,0.02535325,0.0003773759,0.1951217,0.001368544,0.7697101],"study_design_scores_gemma":[0.001000842,0.0002293844,0.007003041,0.0001290098,0.00001685467,0.0001598729,0.0002011311,0.9278907,0.0008160156,0.04665989,0.01571774,0.0001755357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7528924,0.0008071041,0.2417954,0.001470429,0.001943003,0.0002915483,0.00005619693,0.00009919882,0.0006447538],"genre_scores_gemma":[0.9976661,0.00007265915,0.002031895,0.00003753569,0.0001496701,0.000004031393,0.00002072895,0.000004446412,0.00001298922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9025374,"threshold_uncertainty_score":0.3946387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375739215731539,"score_gpt":0.2688546815892903,"score_spread":0.245097289431975,"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."}}