{"id":"W2152337449","doi":"10.1007/978-3-540-74835-9_24","title":"Graphical Password Authentication Using Cued Click Points","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":340,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Cued speech; Password; Point (geometry); Usability; Image (mathematics); Authentication (law); Workload; Computer vision; Computer security; Artificial intelligence; Human–computer interaction; Operating system; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001794819,0.0005030138,0.0005275398,0.001450903,0.0003129099,0.0006821646,0.003287903,0.0004665896,0.00002663754],"category_scores_gemma":[0.0001053506,0.0004822334,0.0001965904,0.001095815,0.000659933,0.0006084954,0.0008843314,0.000809818,0.0001110381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003222094,"about_ca_system_score_gemma":0.0004009628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003290884,"about_ca_topic_score_gemma":0.00009245168,"domain_scores_codex":[0.9953266,0.00007046697,0.0008491129,0.001592289,0.001419052,0.0007424545],"domain_scores_gemma":[0.9967501,0.0003479114,0.0004235796,0.001826928,0.0003657212,0.0002857989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002228075,0.0002681966,0.0009558336,0.0002000927,0.00007361551,0.0001836637,0.02816252,0.0008134737,0.001449532,0.4043028,0.00005215112,0.5635158],"study_design_scores_gemma":[0.0002553247,0.00006267791,0.0004777322,0.0003144258,0.00001350631,0.0000946544,3.102307e-7,0.8246058,0.0004739011,0.1711201,0.001938929,0.0006427163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009955224,0.0001743455,0.9939669,0.0009884008,0.002193306,0.0004722162,0.000002974985,0.0002196573,0.0009866981],"genre_scores_gemma":[0.7903652,0.00001969789,0.2069443,0.001753931,0.000564447,0.000006637418,0.000009464844,0.00004984081,0.0002864246],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8237923,"threshold_uncertainty_score":0.999763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04030825148284347,"score_gpt":0.2915846542011033,"score_spread":0.2512764027182599,"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."}}