{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007486348,0.00009290922,0.0001513416,0.00006934151,0.000128681,0.00035072,0.0005956729,0.0000571383,0.000004936207],"category_scores_gemma":[0.0004056951,0.00007829048,0.00004223726,0.0001721141,0.00006336208,0.003470187,0.0002188202,0.0003282825,0.000001919277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004021917,"about_ca_system_score_gemma":0.00006941491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001159287,"about_ca_topic_score_gemma":0.0001026242,"domain_scores_codex":[0.9985581,0.00002667803,0.0002918844,0.0001261298,0.0008903158,0.0001069175],"domain_scores_gemma":[0.9985809,0.00009561834,0.0003043281,0.00009548877,0.0008790354,0.00004459226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005478365,0.00009995661,0.008880798,0.00003222911,0.0001572807,0.0001424366,0.003008357,0.0001739742,0.0008818275,0.9350571,0.0008212012,0.05069005],"study_design_scores_gemma":[0.0008306748,0.00006350139,0.9099172,0.0003463419,0.00002394084,0.0003003763,0.00007892975,0.0004553956,0.0004220485,0.07434477,0.01302062,0.000196216],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4162023,0.006323143,0.5245995,0.04649969,0.002739453,0.00007808534,0.000005407879,0.00003305131,0.003519393],"genre_scores_gemma":[0.9886769,0.007917039,0.001404781,0.001628206,0.0002671586,2.74065e-7,2.240349e-7,0.000002652063,0.0001027644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9010364,"threshold_uncertainty_score":0.3382001,"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."}}