{"id":"W4387951205","doi":"10.1109/ccece58730.2023.10288919","title":"Mitigating Infectious Disease Transmission with Face Mask Detection Using Machine Learning","year":2023,"lang":"en","type":"article","venue":"","topic":"Face recognition and analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Face (sociological concept); Face detection; Transmission (telecommunications); Infectious disease (medical specialty); Artificial intelligence; Facial recognition system; Disease; Pattern recognition (psychology); Medicine; Telecommunications","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":[0.000134494,0.00009477335,0.00008799971,0.0001842199,0.0003073712,0.000129477,0.0001007683,0.00002331629,0.00004117907],"category_scores_gemma":[0.00002167543,0.00007375785,0.0000601725,0.001122042,0.00001409032,0.0003140196,0.00003759794,0.0001260736,0.0000673613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002484366,"about_ca_system_score_gemma":0.00002464388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001120292,"about_ca_topic_score_gemma":0.00003651924,"domain_scores_codex":[0.9992,0.00006785443,0.0001095535,0.0002491935,0.0001945331,0.0001788279],"domain_scores_gemma":[0.9996289,0.00003747888,0.00004395242,0.0001123021,0.00003553031,0.0001418119],"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":[0.00002157523,0.0000715899,0.02488463,0.0001021313,0.00008744961,0.0001011079,0.001291666,0.232734,0.07106786,0.0002569419,0.000008354952,0.6693727],"study_design_scores_gemma":[0.0002014755,0.00003154131,0.0008370618,0.00003603427,0.00001725675,0.000008202162,0.00008456172,0.9908792,0.007403373,0.0001414205,0.0002344189,0.0001254466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3235963,0.00001487947,0.6752809,0.0002253662,0.00002341213,0.00004460096,3.634309e-7,0.0005617987,0.0002523384],"genre_scores_gemma":[0.9924675,0.00002073093,0.006774004,0.00007052482,0.00001500611,0.000004166986,0.000005265251,0.000009051464,0.0006337253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7581452,"threshold_uncertainty_score":0.3007758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436466508676945,"score_gpt":0.2360832632049712,"score_spread":0.2217185981182018,"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."}}