{"id":"W2403232321","doi":"10.1145/2858036.2858214","title":"Privacy Personas","year":2016,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Categorization; Computer science; Cluster analysis; USable; Persona; Sample (material); Data science; Human–computer interaction; Usage data; Internet privacy; World Wide Web; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003355679,0.00003963387,0.00004378187,0.00002668932,0.0002877845,0.00003780981,0.0002941823,0.00004902901,0.002108586],"category_scores_gemma":[0.0007503352,0.00002479828,0.00002714847,0.00009025395,0.0001115666,0.0003824153,0.0001045728,0.00002988526,0.0007470789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000567834,"about_ca_system_score_gemma":0.0000637917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002177665,"about_ca_topic_score_gemma":0.0008843764,"domain_scores_codex":[0.9993855,0.00006726642,0.00005865987,0.0001293295,0.0001803221,0.0001789398],"domain_scores_gemma":[0.9996306,0.00005166262,0.00001921751,0.0001881855,0.00003237217,0.00007792652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002424027,0.00009535066,0.009396915,0.000006887275,0.00001498028,0.000003971781,0.01663186,9.438536e-9,0.004191535,0.5555661,0.1219457,0.2921225],"study_design_scores_gemma":[0.0001749415,0.00001688053,0.002402918,0.000006469249,0.000002203621,4.457241e-7,0.001021044,0.00000116651,0.0008026311,0.0338874,0.9616,0.00008389631],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1853927,0.00016695,0.0209091,0.0814269,0.001093576,0.0004695421,0.0000154056,0.0006944551,0.7098314],"genre_scores_gemma":[0.9870818,0.0001496831,0.0005902207,0.0002419714,0.0003763904,0.000007817493,6.991657e-7,0.000003612855,0.01154777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8396543,"threshold_uncertainty_score":0.9988036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03917590944960503,"score_gpt":0.3124074547813513,"score_spread":0.2732315453317463,"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."}}