{"meta":{"query_hash":"ec8efbfd343a","filters":{"venue":"2022 IEEE International Conference on Data Science and Information System (ICDSIS)"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/ec8efbfd343a","api":"https://metacan.xera.ac/api/v1/cohort?venue=2022+IEEE+International+Conference+on+Data+Science+and+Information+System+%28ICDSIS%29"},"results":[{"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"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","score_opus":0.15099664478865524,"score_gpt":0.3557920846339966,"score_spread":0.20479543984534135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312252507","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07591155,0.00042710715,0.90410024,0.00043803663,0.00030347295,0.0002717656,0.00018094067,0.011614717,0.006752122],"genre_scores_gemma":[0.80146194,0.0002194273,0.18892942,0.00029257516,0.000041563904,0.00024429813,0.00038681386,0.00011066418,0.008313269],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997414,0.00002306582,0.000015447235,0.000069384114,0.000085394226,0.00006527875],"domain_scores_gemma":[0.999795,0.000028778166,0.000016397526,0.00003348756,0.000110646826,0.000015722224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000327549,0.00066029513,0.00035222314,0.00036423226,0.00036835868,0.00043309553,0.0009718182,0.00068131037,0.004609012],"category_scores_gemma":[0.0007316149,0.00023553477,0.00038861623,0.00017438048,0.00024653235,0.00066592125,0.0004785339,0.00083059934,0.0018799684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036287084,0.00037197483,0.0032504725,0.0001346894,0.000112948794,0.00024484485,0.0001235574,0.09013948,0.12722558,0.0033520227,0.006512809,0.76816875],"study_design_scores_gemma":[0.000015406576,0.00016187035,0.0011470967,0.000012230524,0.000023729192,0.00009213916,0.00001833793,0.9333453,0.061803013,0.00077385776,0.0025880008,0.000019034727],"about_ca_topic_score_codex":0.0068673478,"about_ca_topic_score_gemma":0.0066770166,"teacher_disagreement_score":0.0068673478,"about_ca_system_score_codex":0.0007039275,"about_ca_system_score_gemma":0.0008734172,"threshold_uncertainty_score":0.015418708},"labels":[],"label_agreement":null}]}