{"id":"W2538351683","doi":"10.1109/tic-sth.2009.5444399","title":"Identity, privacy and security challenges with Ontario's enhanced driver's licence","year":2009,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Identity (music); Internet privacy; Computer security; Identity theft; Public security; Information privacy; Business; Computer science; Political science; Public relations","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004301787,0.0001205751,0.0001435212,0.00005432789,0.0005264216,0.0001916263,0.0004336108,0.0001005845,0.000282715],"category_scores_gemma":[0.0001372668,0.0001055289,0.00002404563,0.0001582923,0.0001901722,0.001739881,0.0001637567,0.0001883188,0.00002488059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001256395,"about_ca_system_score_gemma":0.0001540163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06272127,"about_ca_topic_score_gemma":0.6614531,"domain_scores_codex":[0.99874,0.00009316838,0.0001195259,0.0003501748,0.0003985321,0.0002986173],"domain_scores_gemma":[0.9993584,0.00003415682,0.00006576003,0.0002996906,0.0000835713,0.000158452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001850469,0.0006306227,0.007636161,0.00004694599,0.00005604621,0.00002663618,0.3655922,7.287099e-7,0.001182646,0.5658016,0.001663036,0.05717833],"study_design_scores_gemma":[0.001808337,0.001132,0.3365465,0.0001470598,0.00006849245,0.00001517283,0.02009616,0.00002287693,0.004105511,0.5272779,0.1076593,0.001120656],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8673904,0.0006030567,0.002264879,0.008229519,0.0001533151,0.0004975914,0.000002126368,0.0002456187,0.1206135],"genre_scores_gemma":[0.9962529,0.002038945,0.0009080679,0.0002352512,0.000139751,0.000008278857,0.000002650297,0.000003991785,0.0004101656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5987319,"threshold_uncertainty_score":0.9435201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02538805267466586,"score_gpt":0.292058446717035,"score_spread":0.2666703940423691,"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."}}