{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001199043,0.0008533522,0.0004978549,0.004714157,0.001392992,0.002222556,0.001071054,0.001407293,0.03371349],"category_scores_gemma":[0.007477338,0.0003610537,0.000429956,0.001292734,0.0006732887,0.002088723,0.002625033,0.001041657,0.02073143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005032816,"about_ca_system_score_gemma":0.00136714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001264943,"about_ca_topic_score_gemma":0.00163038,"domain_scores_codex":[0.9982479,0.0002316334,0.0001235868,0.0002430013,0.0009420965,0.0002117721],"domain_scores_gemma":[0.996704,0.0006646746,0.0003777587,0.001008547,0.001061943,0.0001830455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005740872,0.0001089641,0.006288643,0.001445835,0.00007204289,0.002786822,0.001772046,0.001014411,0.01286372,0.0379841,0.3747795,0.5603099],"study_design_scores_gemma":[0.00008549424,0.0001226286,0.008882114,0.0007931342,0.00006330313,0.005835305,0.0008916818,0.007892483,0.02620184,0.01776816,0.9313242,0.0001394818],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07748911,0.01236825,0.173342,0.01133863,0.005185907,0.002192729,0.03145534,0.08807436,0.5985537],"genre_scores_gemma":[0.6614177,0.008300851,0.1138842,0.004408543,0.001484564,0.001491761,0.02641799,0.005648126,0.1769462],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03371349,"threshold_uncertainty_score":0.1127828,"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."}}