{"id":"W3100553681","doi":"10.22215/etd/2018-13237","title":"Bend Passwords for People with Vision Impairment","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Password; Usability; Computer security; Authentication (law); Internet privacy; Human–computer interaction; Computer science; Gesture; Engineering; Artificial intelligence","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":[0.0001872951,0.0001931052,0.0002409595,0.0001235867,0.0001356295,0.0002724724,0.000651916,0.0001316883,0.0001045917],"category_scores_gemma":[0.000007250352,0.0001405109,0.00008572713,0.0002115155,0.000008249809,0.0002710921,0.00003135104,0.00006595934,0.00008607878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003837991,"about_ca_system_score_gemma":0.0001230911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000498715,"about_ca_topic_score_gemma":0.001902162,"domain_scores_codex":[0.998684,0.00002293855,0.0002529475,0.0004691018,0.000354879,0.0002160819],"domain_scores_gemma":[0.9988334,0.0000373346,0.0001696535,0.0005933622,0.0002773533,0.00008895987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003523316,0.001250093,0.000567792,0.002090336,0.0003862187,0.000004941045,0.3593672,0.000001040215,0.0003126622,0.126073,0.4792944,0.03030001],"study_design_scores_gemma":[0.002995891,0.004475961,0.02076357,0.0008372106,0.0001454273,0.00002380057,0.003588568,0.1674276,0.005056016,0.004852265,0.7878298,0.00200389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1260005,0.000722346,0.8139154,0.003278979,0.00789291,0.006226727,0.00004713697,0.001308116,0.04060785],"genre_scores_gemma":[0.8089182,0.00003922389,0.02804227,0.0006915496,0.0004581387,0.0007118461,0.001248915,0.00007394823,0.1598159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7858732,"threshold_uncertainty_score":0.572987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007432589072783985,"score_gpt":0.2722147368898253,"score_spread":0.2647821478170413,"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."}}