{"id":"W2559753054","doi":"10.1145/2991079.2991091","title":"Device fingerprinting for augmenting web authentication","year":2016,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Authentication (law); Spoofing attack; Context (archaeology); Password; Computer security; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004690105,0.00006942139,0.00007744871,0.00006718777,0.0001167488,0.0001195073,0.0004745354,0.00002983202,0.00003296646],"category_scores_gemma":[0.0001324467,0.00004718245,0.0000532885,0.0001323373,0.0000123373,0.0003764298,0.00009786079,0.00001835949,0.0002507028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002578631,"about_ca_system_score_gemma":0.00003375226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003483752,"about_ca_topic_score_gemma":0.00000764306,"domain_scores_codex":[0.999149,0.00002834367,0.0002269228,0.0002599179,0.0001364367,0.0001993461],"domain_scores_gemma":[0.9991797,0.0001936432,0.00009270167,0.000371897,0.0001088559,0.00005315176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002908647,0.00007948439,0.003145866,0.00006285586,0.00003098403,3.626034e-7,0.01032602,1.509936e-7,0.1736916,0.6804483,0.001607662,0.1306038],"study_design_scores_gemma":[0.002191587,0.00006304362,0.005429468,0.0002632224,0.00002687867,0.00001450909,0.0002397831,0.6308684,0.09126528,0.02595339,0.2429216,0.0007628861],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08326233,0.0000161205,0.908492,0.005464513,0.0003100734,0.0002573697,0.000001032527,0.0002930349,0.001903561],"genre_scores_gemma":[0.9807642,0.00000172349,0.01449907,0.0002242965,0.0000531693,0.00004891273,6.095801e-7,0.000005920503,0.00440209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8975019,"threshold_uncertainty_score":0.3222361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02885176258211056,"score_gpt":0.2706119312436168,"score_spread":0.2417601686615063,"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."}}