{"id":"W4387486534","doi":"10.1109/indiscon58499.2023.10269872","title":"Automated 20-20-20 Timers Using Facial Detection and Facial Recognition","year":2023,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heritage College","funders":"","keywords":"Timer; Computer science; Real-time computing; Artificial intelligence; Human–computer interaction; Computer hardware; Computer vision","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":[0.0001617317,0.0001151081,0.0001203709,0.0002779965,0.0002349973,0.00009679612,0.00016723,0.0001326529,0.00002101492],"category_scores_gemma":[0.00003836309,0.0001124867,0.00003283548,0.0007010015,0.00007036509,0.0002518637,0.0001216392,0.0001274648,0.0002418313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000389295,"about_ca_system_score_gemma":0.00002522519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007262118,"about_ca_topic_score_gemma":0.0001043239,"domain_scores_codex":[0.9990719,0.00004219145,0.0001490055,0.0003438227,0.0001324936,0.0002605671],"domain_scores_gemma":[0.9996629,0.00003355496,0.00005701309,0.0001446351,0.00005457417,0.00004736052],"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":[0.00001352374,0.00003476458,0.0007748097,0.00001485041,0.00003311117,0.00003462465,0.0002489067,0.0001520817,0.2317576,0.0002071279,0.001133846,0.7655948],"study_design_scores_gemma":[0.0005226267,0.0001375957,0.01342633,0.00002127486,0.00001629525,0.00005257598,0.00008170761,0.9379993,0.04158961,0.002435151,0.003386149,0.0003313886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9043177,0.000007572849,0.08796307,0.0004629555,0.0005251668,0.0001216427,0.00001067385,0.005537437,0.001053799],"genre_scores_gemma":[0.991592,0.000004118182,0.007975901,0.00005853079,0.00005147925,0.000006604676,0.00001192105,0.000008689956,0.0002907397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9378472,"threshold_uncertainty_score":0.4587075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0404285693608641,"score_gpt":0.2753271572682058,"score_spread":0.2348985879073417,"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."}}