{"id":"W2064945825","doi":"10.1145/2501604.2501618","title":"Usability and security evaluation of GeoPass","year":2013,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Lakeridge Health","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Password; Computer science; Usability; Password policy; Login; Computer security; Human-computer interaction in information security; Session (web analytics); Authentication (law); One-time password; Cognitive password; World Wide Web; Password strength; Password cracking; Internet privacy; Information security; Human–computer interaction; Security service; Network security policy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004010055,0.0009633527,0.0005767967,0.0007994956,0.0004215225,0.001343309,0.001009449,0.0007853059,0.004252886],"category_scores_gemma":[0.01042891,0.000393742,0.0003940386,0.000315442,0.0007397259,0.002567265,0.001276007,0.0004992656,0.001020212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000379108,"about_ca_system_score_gemma":0.0005022014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001019278,"about_ca_topic_score_gemma":0.001105473,"domain_scores_codex":[0.9974998,0.0009883142,0.000287428,0.000214308,0.0008394283,0.0001708363],"domain_scores_gemma":[0.9893958,0.004645136,0.0006945863,0.001989561,0.002670907,0.0006040742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008297792,0.005396212,0.09600267,0.003823119,0.0004198526,0.002778139,0.02112194,0.006342945,0.3312718,0.004216413,0.01138469,0.5089444],"study_design_scores_gemma":[0.001241247,0.06496236,0.3677149,0.001093553,0.001182998,0.0113268,0.01240875,0.1014983,0.3401533,0.002521537,0.09489606,0.001000202],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682426,0.0002451784,0.02503285,0.0001564277,0.00003626863,0.0007308869,0.0001985326,0.002797048,0.002560233],"genre_scores_gemma":[0.9616162,0.0002139029,0.03445693,0.0001273898,0.00001720052,0.0002885788,0.000545999,0.0002878806,0.002445909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004252886,"threshold_uncertainty_score":0.02120745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02800012800873,"score_gpt":0.2759727872909134,"score_spread":0.2479726592821834,"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."}}