{"id":"W1977342432","doi":"10.4018/irmj.2012070102","title":"Prevent/Control Identity Theft","year":2012,"lang":"en","type":"article","venue":"Information Resources Management Journal","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Identity theft; Control (management); Identity (music); Business; Perception; Identity management; Data breach; Marketing; Computer security; Public relations; Internet privacy; Computer science; Access control; Economics; Psychology; Political science; Management","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":[0.007951908,0.0009957872,0.0005637081,0.005133259,0.002881624,0.005609773,0.001729507,0.001836185,0.004943253],"category_scores_gemma":[0.03851872,0.0003264022,0.0008305973,0.001936119,0.004231457,0.006662188,0.005196024,0.002160561,0.00121061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647108,"about_ca_system_score_gemma":0.005958966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002493129,"about_ca_topic_score_gemma":0.00212113,"domain_scores_codex":[0.9904516,0.003320585,0.0007718526,0.0009274685,0.003629818,0.0008986641],"domain_scores_gemma":[0.9661152,0.01069144,0.009349987,0.006992853,0.005491709,0.001358881],"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":[0.0001769448,0.001946706,0.08986277,0.001434073,0.0002474781,0.0006086975,0.01224326,0.004305325,0.007611593,0.201612,0.008064293,0.6718868],"study_design_scores_gemma":[0.0003072063,0.003576135,0.2549031,0.007531302,0.001098854,0.003615731,0.06384978,0.03089832,0.05246146,0.3400847,0.241141,0.0005324245],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.3957706,0.004049825,0.3520971,0.02091553,0.0005810447,0.002596762,0.0003109251,0.001697158,0.2219811],"genre_scores_gemma":[0.9481263,0.001040521,0.04484064,0.001098801,0.0001033753,0.0003420264,0.0001040558,0.00005612722,0.004288187],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007951908,"threshold_uncertainty_score":0.04205418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006607149463048119,"score_gpt":0.2173304089499505,"score_spread":0.2107232594869024,"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."}}