{"id":"W3189892866","doi":"10.22214/ijraset.2021.36989","title":"Mask Detection Application","year":2021,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Upload; Identification (biology); Computer science; Coronavirus disease 2019 (COVID-19); Face (sociological concept); Facial recognition system; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Internet privacy; Computer security; Artificial intelligence; World Wide Web; Pattern recognition (psychology); Medicine; Infectious disease (medical specialty); Virology","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":[0.001651339,0.00005404852,0.00009060301,0.001612574,0.0001265925,0.00009070025,0.0002510868,0.00007662315,0.000003335071],"category_scores_gemma":[0.001099828,0.00005417707,0.00001723602,0.001293563,0.0002046597,0.00007369419,0.0001378879,0.0004761411,0.000004321526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005768358,"about_ca_system_score_gemma":0.0003464732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006790566,"about_ca_topic_score_gemma":0.000006320409,"domain_scores_codex":[0.998686,0.000004335207,0.0001573264,0.0002412214,0.0006249571,0.0002861615],"domain_scores_gemma":[0.9988896,0.0001292794,0.00002401312,0.0001292686,0.0007451335,0.00008276811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003920566,0.00005492767,0.0003143917,0.00002006045,0.00001155657,0.00005026801,0.00003740843,0.0003842208,0.8452321,0.01493473,0.0001063837,0.1388147],"study_design_scores_gemma":[0.00242604,0.0002333191,0.004985895,0.000272174,0.00001075239,0.002311783,0.000523085,0.1236111,0.5800721,0.03932096,0.2460037,0.0002291544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7475483,0.0003589364,0.1133791,0.136363,0.001025418,0.000724325,0.000003721687,0.0001948772,0.0004023744],"genre_scores_gemma":[0.9938638,0.000140856,0.005437398,0.000295555,0.0001250852,0.0001116466,0.000001219511,0.000008357375,0.00001608273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.26516,"threshold_uncertainty_score":0.2209277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05777742147251575,"score_gpt":0.4293150512217175,"score_spread":0.3715376297492018,"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."}}