{"id":"W4319998291","doi":"10.18280/ijsse.120606","title":"Forensic Mobile Analysis on Social Media Using National Institute Standard of Technology Method","year":2022,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Computer science; National standard; Engineering; Computer security; Forensic engineering; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002886812,0.0008842773,0.0005406051,0.007326196,0.00135624,0.002456309,0.0009953713,0.0009955377,0.01412708],"category_scores_gemma":[0.01422861,0.0002828079,0.0006914311,0.004762976,0.0008520993,0.001994145,0.002111068,0.0007491976,0.006557981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009038665,"about_ca_system_score_gemma":0.0018023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002268701,"about_ca_topic_score_gemma":0.002766479,"domain_scores_codex":[0.993409,0.00125415,0.0009068364,0.0009115419,0.003179877,0.0003385442],"domain_scores_gemma":[0.9915418,0.001488744,0.001023562,0.001435635,0.004352503,0.0001576808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000703085,0.0006818129,0.05083723,0.001831096,0.000197565,0.002105017,0.004119177,0.005231813,0.03330098,0.06104499,0.03722742,0.8027199],"study_design_scores_gemma":[0.0002008853,0.001494955,0.1749471,0.001661106,0.0003800781,0.005398896,0.01393616,0.1858697,0.1234434,0.05101565,0.4410298,0.0006222437],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1771398,0.0007213291,0.6802163,0.0006577072,0.0009907442,0.01024182,0.01305918,0.005952771,0.1110203],"genre_scores_gemma":[0.4479022,0.0008557327,0.4925328,0.0002552424,0.0002143019,0.01421532,0.01010317,0.000454999,0.03346618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01412708,"threshold_uncertainty_score":0.04725975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201940166968254,"score_gpt":0.2645368371615017,"score_spread":0.2525174354918192,"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."}}