{"id":"W2529371324","doi":"","title":"Signing Your Next Deal With Your Twitter @Username: The Legal Uses of Identity-Based Cryptography","year":2015,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cryptography; Computer security; Identity (music); Internet privacy; Computer science; Business; Art; Aesthetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001412559,0.0001765686,0.0002180736,0.00009893159,0.0006917744,0.0005675461,0.0009283742,0.0001254179,0.0001199488],"category_scores_gemma":[0.0003177694,0.0001307312,0.0001134161,0.0006316082,0.0005536146,0.001946718,0.0001637965,0.000377655,0.00008935232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007932925,"about_ca_system_score_gemma":0.0003967234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05827173,"about_ca_topic_score_gemma":0.02569029,"domain_scores_codex":[0.9976362,0.0004304279,0.0002707013,0.0003123314,0.0009290641,0.0004212756],"domain_scores_gemma":[0.9986387,0.00008983622,0.0002167539,0.0004997836,0.0002725285,0.0002824079],"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":[0.001046411,0.0008107539,0.2994542,0.0001741973,0.0003742806,0.00009133745,0.02767495,0.000395706,0.00357956,0.6322141,0.03193606,0.002248534],"study_design_scores_gemma":[0.004888198,0.0009629585,0.02401713,0.0003386204,0.0003036973,0.00001531424,0.03792801,0.0001787258,0.0070034,0.08153122,0.841446,0.001386657],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96605,0.0005749238,0.0160416,0.003854606,0.0005510149,0.0006606215,0.00003229714,0.0002207255,0.01201426],"genre_scores_gemma":[0.9940094,0.00002174049,0.004121828,0.001074837,0.0006100344,0.00003789427,0.00001166086,0.00002208639,0.0000905046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.80951,"threshold_uncertainty_score":0.9920883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0570625353134887,"score_gpt":0.3119866963439561,"score_spread":0.2549241610304674,"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."}}