{"id":"W4362465781","doi":"10.3389/fphys.2023.1143249","title":"A convolutional neural network for face mask detection in IoT-based smart healthcare systems","year":2023,"lang":"en","type":"article","venue":"Frontiers in Physiology","topic":"Face recognition and analysis","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Princess Nourah Bint Abdulrahman University; Prince Sattam bin Abdulaziz University","keywords":"Convolutional neural network; Computer science; Social distance; Face (sociological concept); Artificial intelligence; Deep learning; Coronavirus disease 2019 (COVID-19); Architecture; Health care; Face masks; Healthcare system; Contagious disease; Computer security; Machine learning; Human–computer interaction; Medicine; Disease; Geography","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":[0.0002606119,0.0001057645,0.0002700342,0.0003060957,0.00008241896,0.00002092111,0.0002419475,0.0001070869,0.000001511726],"category_scores_gemma":[0.00002961754,0.0001090631,0.00008656095,0.001062713,0.00004146579,0.00007051281,0.00004198774,0.0001387333,0.00001689887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001147645,"about_ca_system_score_gemma":0.00006213078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001566101,"about_ca_topic_score_gemma":0.000183775,"domain_scores_codex":[0.998683,0.0002137804,0.0002452461,0.0003617411,0.00009235978,0.0004038338],"domain_scores_gemma":[0.9995537,0.00009758648,0.0000745439,0.0001793353,0.00004388866,0.00005094186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001780584,0.00009377265,0.01782694,0.0002487945,0.00006113413,0.00001362987,0.0003081985,0.9105207,0.002525557,0.00194498,0.02337586,0.04290238],"study_design_scores_gemma":[0.000530599,0.00006732217,0.0195107,0.00002434034,0.000002582896,9.273322e-7,0.000139371,0.9754658,0.00005209561,0.003067486,0.001027509,0.0001112536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1589316,0.0005112995,0.8325428,0.002376522,0.004830309,0.0005396837,0.00002883027,0.0002206866,0.00001821814],"genre_scores_gemma":[0.9933807,0.0000162157,0.005744988,0.0003950585,0.0001106572,0.0001997467,0.00006481609,0.000007636869,0.0000801513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8344491,"threshold_uncertainty_score":0.4447465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976012064954525,"score_gpt":0.2512582076960622,"score_spread":0.231498087046517,"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."}}