{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0117339,0.0006351008,0.0009076807,0.00211642,0.004021689,0.01121469,0.001262068,0.005524408,0.006010702],"category_scores_gemma":[0.02443264,0.0004902679,0.0007650615,0.002655737,0.01833485,0.02194696,0.01125348,0.006712508,0.00437121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002533412,"about_ca_system_score_gemma":0.004260613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006872634,"about_ca_topic_score_gemma":0.0004184838,"domain_scores_codex":[0.9809986,0.008909182,0.0008303692,0.001951059,0.006057891,0.00125282],"domain_scores_gemma":[0.9830675,0.007404439,0.001698721,0.005581214,0.001822886,0.0004252881],"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":[0.00001490963,0.00001108306,0.0003735913,0.00004363943,0.000005030405,0.00005248846,0.001388384,0.0001292221,0.0002089045,0.9776201,0.002447318,0.01770543],"study_design_scores_gemma":[0.00002171599,0.0001341093,0.0009129822,0.0006060833,0.00003011995,0.0008108072,0.00258741,0.001828751,0.00156584,0.7687338,0.2227323,0.00003603649],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04823332,0.01137237,0.2578036,0.08736131,0.001520132,0.0003081147,0.0002757145,0.000535684,0.5925898],"genre_scores_gemma":[0.8742434,0.00939689,0.04069357,0.0134953,0.001563533,0.0004349257,0.0001683569,0.0001426452,0.05986125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0117339,"threshold_uncertainty_score":0.06205547,"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."}}