{"id":"W4290422188","doi":"10.48550/arxiv.1708.01706","title":"Comparative Analysis and Framework Evaluating Mimicry-Resistant and\\n Invisible Web Authentication Schemes","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mimicry; Computer science; Password; Authentication (law); Usability; Computer security; World Wide Web; Multi-factor authentication; Human–computer interaction; Authentication protocol; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005791665,0.0002685577,0.0005282314,0.0004813816,0.0004498019,0.0006260726,0.001156968,0.0002510422,0.00001474138],"category_scores_gemma":[0.0000976234,0.0002977943,0.0001365387,0.000513014,0.0002032888,0.0003848197,0.001422141,0.0004077534,0.00002422117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007862652,"about_ca_system_score_gemma":0.0001454025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001478078,"about_ca_topic_score_gemma":0.0001327204,"domain_scores_codex":[0.997992,0.0002642146,0.0002654928,0.001091026,0.0001517732,0.0002355034],"domain_scores_gemma":[0.9973035,0.0002007365,0.0005388125,0.001519999,0.0002588678,0.0001780993],"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":[0.00008131109,0.0002898274,0.05416539,0.0004682273,0.003380914,0.00005253384,0.06871378,0.001778191,0.001726379,0.868089,0.0001497729,0.001104633],"study_design_scores_gemma":[0.0002332961,0.0000294618,0.01208586,0.0001320709,0.0005598327,0.000001050751,0.0002958764,0.9449748,0.0001117155,0.0410313,0.0002134179,0.0003313234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7692052,0.0002765986,0.2294253,0.0002343516,0.0001521187,0.000285762,0.00001456321,0.0001066771,0.0002994429],"genre_scores_gemma":[0.9953613,0.0001692706,0.00390424,0.00003821648,0.00002872227,0.000002379343,0.0000205065,0.000006860405,0.0004685547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9431966,"threshold_uncertainty_score":0.9999474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1362334219208421,"score_gpt":0.2755922952137223,"score_spread":0.1393588732928802,"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."}}