{"id":"W179288672","doi":"","title":"Identity Theft: Who Is Using Your Name?","year":2014,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Identity (music); Identity theft; Internet privacy; Computer security; Business; Computer science; Philosophy; Aesthetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002512602,0.0002023468,0.0003442137,0.001420604,0.01289037,0.007079783,0.0007749714,0.001747123,0.009000706],"category_scores_gemma":[0.01158664,0.0001476273,0.0002122275,0.00252664,0.00801726,0.006718475,0.001915886,0.002760971,0.002644009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01419888,"about_ca_system_score_gemma":0.01624722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6456579,"about_ca_topic_score_gemma":0.6980754,"domain_scores_codex":[0.9963843,0.0008425408,0.0001128422,0.000220966,0.001561329,0.0008780921],"domain_scores_gemma":[0.9939178,0.0009399626,0.0009811149,0.0002666017,0.002594663,0.001299676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001142631,0.0001384302,0.1171652,0.0002534784,0.00002793538,0.002856921,0.2512726,0.0001000278,0.0008152143,0.07394801,0.3073631,0.2459448],"study_design_scores_gemma":[0.000005173578,0.00003028814,0.04157554,0.0005601376,0.00003132807,0.003723717,0.4067478,0.0002462043,0.0005484848,0.006795441,0.5396594,0.0000765649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3271472,0.02061595,0.003958268,0.3306617,0.003726759,0.00007611569,0.0008576759,0.0001410415,0.3128153],"genre_scores_gemma":[0.903039,0.01639994,0.0009200434,0.01871376,0.0004755371,0.00001724968,0.0002230701,0.00006344662,0.06014781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6456579,"threshold_uncertainty_score":0.7128578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02530825327765659,"score_gpt":0.2414091099433546,"score_spread":0.216100856665698,"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."}}