{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00121161,0.0000877616,0.00007390492,0.000262819,0.0003179966,0.001003941,0.0006489821,0.00003136917,0.00007349236],"category_scores_gemma":[0.00002083614,0.00007468355,0.00007456826,0.0002534485,0.00001174256,0.01144076,0.0001356982,0.000170299,0.000416711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005748946,"about_ca_system_score_gemma":0.00000462144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003817243,"about_ca_topic_score_gemma":5.469926e-7,"domain_scores_codex":[0.9987952,0.00007275738,0.0003164145,0.00005281553,0.000498194,0.0002645876],"domain_scores_gemma":[0.9993034,0.0000195961,0.0002799393,0.00022086,0.00005257105,0.000123609],"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":[0.00005687071,0.0002455758,0.01636858,0.0001459213,0.0004183628,0.00001118701,0.02299561,0.003352875,0.00002349039,0.2422757,0.02579709,0.6883087],"study_design_scores_gemma":[0.001286236,0.00007728409,0.07584991,0.00005033206,0.00004910138,0.0002313542,0.0006897041,0.01651241,0.00007491966,0.01112006,0.8937394,0.0003192776],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02549309,0.0001112145,0.9285871,0.0006042353,0.001337105,0.0001536928,6.120757e-7,0.0001281958,0.04358477],"genre_scores_gemma":[0.9942719,0.00004270221,0.004052652,0.001024301,0.0003135982,0.000007249943,9.361584e-7,0.000003108093,0.0002835808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9687788,"threshold_uncertainty_score":0.9681022,"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."}}