{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00385188,0.0001189506,0.0002168777,0.0005742203,0.01254885,0.006194044,0.001319921,0.002092242,0.004898698],"category_scores_gemma":[0.007509043,0.0002696735,0.0003517319,0.001258217,0.005179022,0.002307526,0.003388517,0.002295854,0.0004672788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04323905,"about_ca_system_score_gemma":0.0726309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.92559,"about_ca_topic_score_gemma":0.9645041,"domain_scores_codex":[0.9942352,0.0007234838,0.0001217434,0.0002899611,0.002932424,0.001697123],"domain_scores_gemma":[0.9954448,0.001048677,0.0004048248,0.0003857483,0.001646911,0.001069097],"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":[0.0002217912,0.0001653762,0.100082,0.0001632153,0.00002786554,0.002934246,0.0844467,0.001742205,0.001671492,0.6125386,0.08310738,0.1128991],"study_design_scores_gemma":[0.00004926865,0.0001327966,0.07143296,0.000232838,0.000045451,0.00109345,0.07301305,0.002061508,0.001696392,0.01861565,0.831448,0.0001787023],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5309002,0.001668544,0.004226162,0.08327743,0.0004239372,0.0001352612,0.0003766794,0.00006786729,0.378924],"genre_scores_gemma":[0.9243101,0.0009204215,0.001390683,0.004365942,0.00005212137,0.00003971413,0.00009725952,0.00001673399,0.06880694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07441002,"threshold_uncertainty_score":0.3137227,"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."}}