{"id":"W2153606536","doi":"10.1504/ijbge.2010.029555","title":"Measuring identity theft and identity fraud","year":2009,"lang":"en","type":"article","venue":"International Journal of Business Governance and Ethics","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Materials and Energy Research Center; McMaster University","keywords":"Identity theft; Business; Identity (music); Credit card; Credit card fraud; Government (linguistics); Internet privacy; Marketing; Payment; Finance; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01035889,0.0003243879,0.000389245,0.007474434,0.003008611,0.002905085,0.001070125,0.001455349,0.002212927],"category_scores_gemma":[0.05505931,0.000256567,0.0006082556,0.005639408,0.00324472,0.003303559,0.003582348,0.001637975,0.0003421187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006847464,"about_ca_system_score_gemma":0.008365409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08077301,"about_ca_topic_score_gemma":0.05684319,"domain_scores_codex":[0.9842529,0.004554514,0.001089193,0.0004810227,0.008105273,0.001517105],"domain_scores_gemma":[0.9526758,0.01247414,0.01937575,0.003000325,0.01025916,0.002214747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004918216,0.0003140239,0.9522182,0.00007239237,0.00004856974,0.00006879742,0.006686169,0.0004254917,0.0001894571,0.004163306,0.0006187759,0.03514566],"study_design_scores_gemma":[0.00001338567,0.0001946897,0.9660066,0.0002112344,0.00007531018,0.0004293654,0.02006505,0.00266255,0.0006787924,0.004075147,0.005541167,0.00004670584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826302,0.000301573,0.002171928,0.0004526867,0.00001778111,0.0002311319,0.000192598,0.000009505751,0.01399252],"genre_scores_gemma":[0.9968444,0.0002382743,0.001693946,0.00006980025,0.00000780966,0.000092333,0.0001482721,0.000001991908,0.0009031338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08077301,"threshold_uncertainty_score":0.1606057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05835093745130417,"score_gpt":0.3236566169514756,"score_spread":0.2653056795001714,"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."}}