{"id":"W2170614792","doi":"10.1109/itng.2011.85","title":"Multilingual Highlighting CAPTCHA","year":2011,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"CAPTCHA; Computer science; Word (group theory); Mobile device; Phone; Stylus; Mobile phone; Multimedia; World Wide Web; Hacker; Human–computer interaction; Computer security; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004004875,0.0009434166,0.000469609,0.001203231,0.0007415529,0.001083564,0.0008610614,0.001339786,0.02778722],"category_scores_gemma":[0.003441492,0.0002584151,0.0003855066,0.00117556,0.0004437837,0.001151235,0.001384052,0.000713538,0.0090221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003658644,"about_ca_system_score_gemma":0.0004101799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007569019,"about_ca_topic_score_gemma":0.001094911,"domain_scores_codex":[0.999064,0.0001369134,0.00006020493,0.0001952583,0.0004053106,0.0001382175],"domain_scores_gemma":[0.9970019,0.0008949501,0.0002060608,0.000690993,0.001068799,0.0001371849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008767001,0.0001199906,0.0009997507,0.0007748991,0.00003343297,0.001559265,0.0009685042,0.002460807,0.2692252,0.005597386,0.02212767,0.6952564],"study_design_scores_gemma":[0.00009639142,0.0009812857,0.003887098,0.0003523633,0.0001243862,0.007879144,0.0006614933,0.05796238,0.6126388,0.003250618,0.3119296,0.0002363738],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1207983,0.003933392,0.7337849,0.0008986545,0.001712663,0.0006678259,0.00104092,0.02385216,0.1133111],"genre_scores_gemma":[0.6227138,0.001437729,0.3091037,0.001058304,0.0005097229,0.0005505099,0.001278053,0.001889084,0.06145917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02778722,"threshold_uncertainty_score":0.09295756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0545340942143099,"score_gpt":0.2398646415791572,"score_spread":0.1853305473648473,"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."}}