{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001832379,0.0005339999,0.0004080295,0.002349465,0.004571453,0.007784451,0.001171921,0.003266934,0.06548823],"category_scores_gemma":[0.01240332,0.0002249476,0.0005573797,0.001598975,0.00463103,0.006559146,0.006725285,0.003634648,0.0190991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002607609,"about_ca_system_score_gemma":0.003831229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00418163,"about_ca_topic_score_gemma":0.003455234,"domain_scores_codex":[0.9956703,0.0008892593,0.000319301,0.0004207933,0.001833335,0.0008670524],"domain_scores_gemma":[0.9940568,0.00145671,0.001086794,0.001087628,0.001474236,0.0008377652],"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":[0.00007700202,0.0001808926,0.01353781,0.0009121948,0.00003153798,0.003494405,0.01072495,0.0002487802,0.0004999264,0.3111683,0.2666616,0.3924625],"study_design_scores_gemma":[0.000009009602,0.00005920083,0.00624536,0.002780944,0.00002590504,0.008991431,0.009001525,0.0002738473,0.000716897,0.03570715,0.9361544,0.00003436084],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04872644,0.02062697,0.00904286,0.02685592,0.004668335,0.0002594124,0.0009151525,0.0004527612,0.8884522],"genre_scores_gemma":[0.6297417,0.03090017,0.002958064,0.01832454,0.00203822,0.0001650555,0.001321753,0.0001910518,0.3143594],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06548823,"threshold_uncertainty_score":0.2190799,"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."}}