{"id":"W3091198492","doi":"10.6000/1929-4409.2020.09.62","title":"Exploring the Challenges of Forensic Technology in Responding to Identity Document Theft in Polokwane Policing Area, South Africa","year":2020,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identity theft; Hacker; Business; Service (business); Identity (music); Public relations; Criminology; Computer security; Sociology; Marketing; Political science; Computer science","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":[0.005737475,0.0004801782,0.0003319033,0.001542082,0.01006935,0.0102463,0.001478765,0.002595503,0.006405311],"category_scores_gemma":[0.01261745,0.0006843884,0.000220269,0.001570516,0.006754423,0.007798293,0.007462716,0.002889739,0.0008213005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003989784,"about_ca_system_score_gemma":0.01170417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01055589,"about_ca_topic_score_gemma":0.01686975,"domain_scores_codex":[0.9931537,0.003924915,0.0002816868,0.0003004099,0.0009578826,0.001381427],"domain_scores_gemma":[0.9902737,0.005696177,0.00171388,0.0003035402,0.0010691,0.0009437453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001245207,0.0002402815,0.04174101,0.002289613,0.00004029955,0.01750094,0.7766106,0.0009784764,0.004317845,0.03230093,0.006996931,0.1168585],"study_design_scores_gemma":[0.000005416004,0.0000934491,0.008070647,0.001078789,0.00001256944,0.00302391,0.931491,0.000321286,0.0005781715,0.003360537,0.05193978,0.00002447169],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.896727,0.004201089,0.004041587,0.03085491,0.0002737468,0.0004374776,0.0000671657,0.00002278593,0.06337418],"genre_scores_gemma":[0.98685,0.00353504,0.002268178,0.001447973,0.0000338591,0.0001217327,0.00001961753,0.00001258967,0.005710994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01055589,"threshold_uncertainty_score":0.030343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1749804953940239,"score_gpt":0.3343080477791576,"score_spread":0.1593275523851336,"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."}}