{"id":"W3134548657","doi":"10.48550/arxiv.2103.02579","title":"Exploring Privacy Implications in OAuth Deployments","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Login; Internet privacy; World Wide Web; Computer science; Service provider; Authentication (law); Computer security; Information privacy; Identity (music); Business; Service (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":[0.000156193,0.000183505,0.0001894112,0.0003022749,0.0001112965,0.0001950394,0.001329353,0.0001291216,0.000009424842],"category_scores_gemma":[0.00003700854,0.000243446,0.0001142144,0.0008971549,0.00002284567,0.0009136125,0.001835778,0.0004813456,0.00003014131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002941284,"about_ca_system_score_gemma":0.0001487464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004457101,"about_ca_topic_score_gemma":0.0001193043,"domain_scores_codex":[0.9985129,0.00009992179,0.0001589077,0.0009103257,0.00006358841,0.0002543317],"domain_scores_gemma":[0.9984394,0.00005544741,0.0001235675,0.001200561,0.00007909031,0.0001019716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00004757662,0.0009311381,0.1582969,0.0003106763,0.0003091966,0.001155393,0.009446763,0.4347884,0.00193739,0.3698455,0.0002580454,0.02267306],"study_design_scores_gemma":[0.001537584,0.00009217933,0.5446127,0.0006301851,0.0001005232,0.00002434677,0.0004104058,0.366439,0.003461197,0.07941921,0.001468982,0.001803648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6886086,0.00002207258,0.3097264,0.0001249338,0.0006018773,0.0001293235,0.000001738853,0.0001889951,0.0005960166],"genre_scores_gemma":[0.9979997,0.0002470137,0.001432395,0.00004965648,0.00004982292,0.000005078819,0.000009621047,0.0000128466,0.0001938246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3863159,"threshold_uncertainty_score":0.9927438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2966562413141358,"score_gpt":0.2108698146257155,"score_spread":0.08578642668842024,"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."}}