{"id":"W4383375899","doi":"10.1142/9789811273209_0008","title":"Digital Evidence Collection in IoT Environment","year":2023,"lang":"en","type":"book-chapter","venue":"World Scientific series in digital forensics and cybersecurity","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"New York Institute of Technology; University of Regina","funders":"","keywords":"Internet of Things; Computer science; Internet privacy","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":[0.0004823819,0.0004127895,0.0002577905,0.001493136,0.0005461919,0.001915526,0.0006781863,0.0006905092,0.005190437],"category_scores_gemma":[0.001383374,0.0002655661,0.0003170817,0.001802272,0.0007299387,0.002421371,0.001215745,0.0009349621,0.001329049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004007207,"about_ca_system_score_gemma":0.0005293541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004739374,"about_ca_topic_score_gemma":0.0006394495,"domain_scores_codex":[0.9996326,0.00005923281,0.00002373649,0.00004611296,0.0002124193,0.00002580449],"domain_scores_gemma":[0.999186,0.0004532857,0.00005229458,0.000117617,0.0001596259,0.00003121095],"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":[0.0001072341,0.00008478712,0.001959785,0.0006869353,0.00002537842,0.001198472,0.0008542861,0.005912461,0.01201435,0.1298647,0.02507685,0.8222147],"study_design_scores_gemma":[0.00002091257,0.0002529646,0.007514468,0.001666277,0.0001092414,0.008341081,0.002171331,0.07847521,0.0462911,0.2452697,0.6097901,0.00009754942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04377515,0.03656526,0.6100081,0.002319461,0.001550163,0.0002588522,0.0005026336,0.001252525,0.3037678],"genre_scores_gemma":[0.4561331,0.05532963,0.2676156,0.0006817631,0.0007489403,0.0001528748,0.0008733091,0.0003620868,0.2181026],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005190437,"threshold_uncertainty_score":0.01736373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02128678391772867,"score_gpt":0.2084101094499442,"score_spread":0.1871233255322156,"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."}}