{"id":"W4229455392","doi":"10.3390/healthcare10050873","title":"Intelligent Real-Time Face-Mask Detection System with Hardware Acceleration for COVID-19 Mitigation","year":2022,"lang":"en","type":"article","venue":"Healthcare","topic":"Face recognition and analysis","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Computer hardware; Hardware acceleration; Acceleration; USB; Embedded system; Face detection; Artificial intelligence; Real-time computing; Facial recognition system; Pattern recognition (psychology); Operating system; Software; Field-programmable gate array","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":[0.0003922393,0.0001181491,0.0001665365,0.0001888047,0.0009091093,0.0001193642,0.0002334536,0.00004386729,0.00004802062],"category_scores_gemma":[0.00003107829,0.0001140669,0.00007998765,0.0005807991,0.00001225631,0.0002355022,0.00006774516,0.0001220642,0.00003359693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008608607,"about_ca_system_score_gemma":0.0002972001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005279781,"about_ca_topic_score_gemma":0.0003871323,"domain_scores_codex":[0.9985017,0.0002385523,0.0002658016,0.0004142621,0.0003545739,0.0002250957],"domain_scores_gemma":[0.9990696,0.00007413315,0.0001716722,0.000285086,0.0001825316,0.0002169764],"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":[0.0006892764,0.0004714728,0.003722833,0.006532109,0.0003979237,0.0000977992,0.03080698,0.1217158,0.01670942,0.04246282,0.006873579,0.7695199],"study_design_scores_gemma":[0.0008761843,0.0009595207,0.000281767,0.00007393079,0.00003748512,0.0001090189,0.009347872,0.96064,0.008975406,0.0004323199,0.01780122,0.0004652861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01146252,0.00006684216,0.9782907,0.008506204,0.0002082295,0.0008263681,0.00007619597,0.0004550583,0.0001078279],"genre_scores_gemma":[0.9933422,0.00002295824,0.004386483,0.001024862,0.00005771429,0.000624612,0.0001995512,0.00001381099,0.000327821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9818797,"threshold_uncertainty_score":0.6992226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04119375223552211,"score_gpt":0.2996253539685414,"score_spread":0.2584316017330193,"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."}}