{"id":"W4312252507","doi":"10.1109/icdsis55133.2022.9915865","title":"Implementation of Machine Learning for CAPTCHAs Authentication Using Facial Recognition","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Data Science and Information System (ICDSIS)","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"CAPTCHA; Turing test; Computer science; Authentication (law); Artificial intelligence; Facial recognition system; Deep learning; Image (mathematics); Machine learning; Pattern recognition (psychology); Human–computer interaction; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.002474077,0.0001159921,0.0001501292,0.0006243822,0.0006836716,0.0004372582,0.001610771,0.00002599254,0.00008974711],"category_scores_gemma":[0.0001095305,0.0001206351,0.00003124127,0.0005788862,0.00008223377,0.006659424,0.0004795081,0.0001227009,0.00001676609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002557376,"about_ca_system_score_gemma":0.0003629773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002240644,"about_ca_topic_score_gemma":0.00001228216,"domain_scores_codex":[0.9974498,0.00009908188,0.0006557421,0.0003507004,0.00126421,0.0001804355],"domain_scores_gemma":[0.9979602,0.00004770391,0.000653637,0.0004532248,0.0008157518,0.00006946603],"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":[0.0002108349,0.0002321653,0.002549397,0.000520416,0.000176775,0.000001608687,0.09425081,0.0005349395,0.05593481,0.651371,0.0009868094,0.1932305],"study_design_scores_gemma":[0.0005080781,0.0001093871,0.0003608496,0.00002761679,0.00001016728,0.00002144508,0.008141263,0.9838497,0.001312631,0.000175569,0.005343041,0.0001402569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5409006,0.00003146329,0.4425351,0.002801874,0.005262199,0.002408158,0.003578482,0.0002667131,0.002215436],"genre_scores_gemma":[0.9979961,0.00001515529,0.0009254609,0.0001394201,0.00003705566,0.00009596957,0.0007668084,0.00000390133,0.00002014895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9833148,"threshold_uncertainty_score":0.5258318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1509966447886552,"score_gpt":0.3557920846339966,"score_spread":0.2047954398453413,"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."}}