{"id":"W4386040234","doi":"10.1093/acrefore/9780190264079.013.797","title":"Identity Theft","year":2023,"lang":"en","type":"reference-entry","venue":"Oxford Research Encyclopedia of Criminology and Criminal Justice","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University","funders":"","keywords":"Identity theft; Identity (music); Phishing; Internet privacy; Personally identifiable information; Harm; Business; Hacker; Law enforcement; Credit card; Computer security; Payment; Criminology; Political science; Psychology; Law; The Internet; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001647884,0.0004927266,0.0008923075,0.0009363743,0.0007787967,0.0001409933,0.002354137,0.0006865251,0.00008585857],"category_scores_gemma":[0.001280956,0.0004297484,0.0001889676,0.0004509567,0.00111071,0.0007131255,0.003498411,0.002180097,0.0001416065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008175044,"about_ca_system_score_gemma":0.0006198044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008029535,"about_ca_topic_score_gemma":0.0002112754,"domain_scores_codex":[0.9948456,0.0005258238,0.0007746429,0.001084437,0.001455244,0.001314311],"domain_scores_gemma":[0.9957277,0.001937231,0.0002505891,0.001092617,0.0007370802,0.0002547574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008559459,0.0001632085,0.00004683427,0.006769578,0.0002484056,0.0002496929,0.004244985,0.000001627869,0.000001921999,0.5062813,0.1516085,0.3302983],"study_design_scores_gemma":[0.0006217996,0.0009679885,0.002649549,0.0007005485,0.001526768,0.00007655724,0.005108556,0.0001127077,0.00003473959,0.04654118,0.9409156,0.0007439526],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.008597697,0.01135675,0.004740176,0.0007341771,0.00320249,0.0005568559,0.0000639222,0.0002221672,0.9705257],"genre_scores_gemma":[0.003556658,0.8844723,0.001360087,0.0001505661,0.0008428667,0.0001281739,0.00007220976,0.00005255289,0.1093647],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8731155,"threshold_uncertainty_score":0.9998154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1458122631534456,"score_gpt":0.3885322344254871,"score_spread":0.2427199712720415,"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."}}