{"id":"W2612269535","doi":"10.1145/3063955.3063981","title":"Android digital forensics","year":2017,"lang":"en","type":"article","venue":"","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakeridge Health","funders":"","keywords":"Android (operating system); Digital forensics; Computer science; Instant messaging; Computer security; Android Beam; World Wide Web; Operating system","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00003024232,0.00006977618,0.00006899884,0.00001336792,0.0001935348,0.00237866,0.001044971,0.00002147126,0.000005126288],"category_scores_gemma":[0.00003195103,0.00005297316,0.00004693897,0.00002614768,0.00008976999,0.0025018,0.000534203,0.00003576789,0.0002878986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005486145,"about_ca_system_score_gemma":0.00001788162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005861087,"about_ca_topic_score_gemma":0.000006091342,"domain_scores_codex":[0.999447,0.000001121596,0.00007459099,0.0001731003,0.0001406191,0.0001635326],"domain_scores_gemma":[0.9989759,0.000009928748,0.00004424427,0.0008573559,0.00003739402,0.00007519135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[5.09852e-7,0.000009328731,0.001430486,8.31066e-7,0.000003592921,0.00001228452,0.00002260254,3.925425e-7,0.000003130597,0.5569825,0.005022005,0.4365123],"study_design_scores_gemma":[0.0004777909,0.0001194466,0.01424277,0.00001229332,0.000002819322,0.00007748468,0.00001656298,0.005811086,0.002898364,0.7849984,0.1908934,0.0004496057],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0137264,0.000007750154,0.1863478,0.00105005,0.0003950821,0.00003498972,0.00000305455,0.0001531792,0.7982817],"genre_scores_gemma":[0.9817585,0.00000125542,0.007627501,0.0002357789,0.00004782425,0.000001065405,0.000001416345,0.000003688296,0.01032294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9680321,"threshold_uncertainty_score":0.998657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222962124856641,"score_gpt":0.2210937118431546,"score_spread":0.2088640905945882,"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."}}