{"id":"W3083517685","doi":"10.22215/etd/2019-13835","title":"Me, Myself, and ID: Towards Usable, Privacy-Preserving, Fraud-Resistant Digital Identity Services for Smartphone Users","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Carleton University","keywords":"Internet privacy; USable; Usability; Digital identity; Identity (music); Computer science; Service (business); Discoverability; Categorization; World Wide Web; Authentication (law); Computer security; Counterfeit; Human–computer interaction; Business; Political science; Access control","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001405046,0.0003775843,0.0001565948,0.0004478899,0.0007912993,0.003528034,0.0004433186,0.001075361,0.008863862],"category_scores_gemma":[0.003315195,0.0001685528,0.0002322872,0.0005426203,0.001027676,0.003859988,0.001933555,0.00182948,0.005316548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000559154,"about_ca_system_score_gemma":0.001179476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00087662,"about_ca_topic_score_gemma":0.001425253,"domain_scores_codex":[0.9995016,0.0001578677,0.00001866024,0.00006166011,0.0001870498,0.00007306304],"domain_scores_gemma":[0.9992768,0.000207705,0.00005505241,0.0001425336,0.0001866691,0.0001313051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001917493,0.000182807,0.003784686,0.0004561214,0.00001744752,0.0001695937,0.006041291,0.0004656917,0.01520476,0.1876791,0.09878886,0.687018],"study_design_scores_gemma":[0.00004770996,0.0002722844,0.004114423,0.0005933545,0.000054268,0.0009315202,0.006212341,0.00947469,0.02758281,0.07208256,0.8785774,0.00005670682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1542236,0.02934674,0.288633,0.1010036,0.006007578,0.0003883814,0.0006656038,0.003036458,0.416695],"genre_scores_gemma":[0.5239099,0.02330466,0.1289771,0.007036379,0.001015773,0.0002268741,0.0008340373,0.0003871653,0.3143081],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.008863862,"threshold_uncertainty_score":0.0296526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329818489091319,"score_gpt":0.2695670240425594,"score_spread":0.2562688391516463,"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."}}