{"id":"W2265903302","doi":"","title":"Secure User Identification Without Privacy Erosion","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Identification (biology); Internet privacy; Privacy policy; Computer security; Anonymity; Information privacy; Computer science; Identifier; Service provider; Privacy law; Privacy by Design; Premise; Privacy software; Service (business); Business","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.008398145,0.0001202072,0.0001208454,0.0001542382,0.001263294,0.0002157158,0.0006563274,0.0001627108,0.00005631313],"category_scores_gemma":[0.0006550864,0.0001149725,0.00008511686,0.0003624668,0.0001050066,0.0009077797,0.0000893506,0.001469667,0.0001073826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326035,"about_ca_system_score_gemma":0.001396982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001098843,"about_ca_topic_score_gemma":0.01589811,"domain_scores_codex":[0.9967527,0.0002027593,0.0003363037,0.000231253,0.0005920177,0.00188495],"domain_scores_gemma":[0.9991103,0.00004192696,0.0002539139,0.0002715127,0.000170323,0.0001520512],"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":[0.00026592,0.0002923777,0.03126007,0.00001503942,0.0001065588,0.000006438572,0.01323153,0.000003671892,0.01467655,0.8612213,0.002310067,0.07661052],"study_design_scores_gemma":[0.000936989,0.0001993246,0.01651527,0.00003676601,0.00005633682,0.0001229797,0.01343094,0.00002284724,0.002146379,0.8148269,0.1512988,0.0004064708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7750605,0.001820847,0.2144983,0.003909434,0.001255695,0.0004716103,0.000003567801,0.000173174,0.002806835],"genre_scores_gemma":[0.992937,0.00357782,0.0001947425,0.00008375583,0.001230532,0.000003813989,0.000009323156,0.00001675466,0.001946293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2178764,"threshold_uncertainty_score":0.9716367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158861294091796,"score_gpt":0.3084357167445166,"score_spread":0.292549587335337,"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."}}