{"id":"W4293187204","doi":"10.1177/02697580221091284","title":"Everyone is victimized or only the naïve? The conflicting discourses surrounding identity theft victimization","year":2022,"lang":"en","type":"article","venue":"International Review of Victimology","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Blame; Identity theft; Embarrassment; Identity (music); Criminology; Context (archaeology); Social psychology; Psychology; Internet privacy; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.009433535,0.0003918387,0.00074497,0.004154202,0.01248869,0.01236316,0.001977735,0.003519908,0.002305817],"category_scores_gemma":[0.01428573,0.0004120597,0.0003106286,0.004283859,0.04103151,0.01277781,0.006106712,0.003978449,0.0003007376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01034774,"about_ca_system_score_gemma":0.008537002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09834871,"about_ca_topic_score_gemma":0.09375351,"domain_scores_codex":[0.9897786,0.006712295,0.0003604516,0.0005309034,0.001594701,0.001023109],"domain_scores_gemma":[0.9893039,0.007047909,0.001701278,0.0004399718,0.0009448234,0.0005620465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001811497,0.00002094305,0.004719313,0.0003302551,0.00001556081,0.0008074259,0.9044179,0.00002906671,0.0001751759,0.05901022,0.004504527,0.02595157],"study_design_scores_gemma":[0.000002654817,0.00001307981,0.003735145,0.001160521,0.00001525558,0.0005965632,0.9433809,0.00002716045,0.0001042742,0.005169189,0.04577341,0.00002190055],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6463468,0.1141169,0.002601882,0.1418011,0.0008926221,0.0000569828,0.0001123554,0.00003984347,0.09403152],"genre_scores_gemma":[0.9519548,0.0407716,0.0002973181,0.004205123,0.000215808,0.00001712415,0.0000243549,0.00001694787,0.002496793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09834871,"threshold_uncertainty_score":0.1955525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02714053128785518,"score_gpt":0.3543569603584557,"score_spread":0.3272164290706006,"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."}}