{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008251329,0.0007659146,0.001042641,0.004810001,0.001038409,0.003252834,0.001668548,0.001712801,0.003659593],"category_scores_gemma":[0.03286724,0.0002492026,0.00105562,0.001979512,0.003208041,0.005503044,0.002590836,0.001372424,0.0005326741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003063686,"about_ca_system_score_gemma":0.001103006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006928447,"about_ca_topic_score_gemma":0.0005835732,"domain_scores_codex":[0.9807956,0.009507306,0.0009126795,0.001289735,0.006286555,0.001208162],"domain_scores_gemma":[0.9516277,0.03041074,0.004047511,0.01026325,0.002925059,0.0007257917],"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":[0.002342743,0.000862396,0.008589204,0.001185255,0.000312431,0.000468837,0.000675032,0.1916964,0.03982978,0.5887105,0.002750691,0.1625767],"study_design_scores_gemma":[0.000166103,0.002948905,0.005477829,0.0002626471,0.0002913878,0.001165479,0.0008234343,0.8695389,0.03054865,0.07784829,0.01076371,0.0001646664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6153951,0.006712458,0.313247,0.001136181,0.0001852528,0.0007609226,0.0002843588,0.0006853299,0.06159343],"genre_scores_gemma":[0.9739642,0.0008749248,0.02314838,0.00006251275,0.00005066611,0.00008939743,0.0001009828,0.00003744834,0.001671583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008251329,"threshold_uncertainty_score":0.04363769,"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."}}