{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004141114,0.00007638643,0.0002257421,0.0006952783,0.00006527339,0.00003388813,0.0004339785,0.00003018788,0.000008516943],"category_scores_gemma":[0.00006984512,0.00007600902,0.000131745,0.0005663789,0.00003867952,0.0003440144,0.000238076,0.0002193458,1.026053e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001441836,"about_ca_system_score_gemma":0.00008183882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002237105,"about_ca_topic_score_gemma":0.000003142408,"domain_scores_codex":[0.9987211,0.00001494872,0.0003390074,0.0001028949,0.0007346905,0.00008733465],"domain_scores_gemma":[0.9992531,0.00008674814,0.0002088888,0.00005089778,0.0003671899,0.00003316268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001330276,0.00006677469,0.0001100042,0.000006928908,0.0007763897,0.00005277407,0.001496416,0.5238408,0.0002774601,0.4282042,0.00002597409,0.04500917],"study_design_scores_gemma":[0.002353573,0.0006057675,0.00200676,0.00008774802,0.000235306,0.00115605,0.0007487193,0.8657888,0.00420557,0.08812238,0.03413785,0.0005514902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3291452,0.0001908429,0.6678376,0.0009885087,0.001382591,0.00004817763,0.0001506299,0.00002775351,0.00022863],"genre_scores_gemma":[0.9796532,0.00001670161,0.02018675,0.00003536336,0.00009633235,0.000001044693,0.00000550934,0.000003489702,0.000001658193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6505079,"threshold_uncertainty_score":0.3099558,"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."}}