{"id":"W4297504202","doi":"10.18280/ts.390412","title":"Automatic COVID-19 Diagnosis System Based on Deep Convolutional Neural Networks","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Convolutional neural network; Government (linguistics); Coronavirus disease 2019 (COVID-19); Social distance; Population; Computer science; Artificial intelligence; Public health; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; Virus; Geography; Disease; Medicine; Computer security; Virology; Environmental health; Pathology; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000908423,0.0003354079,0.0004807918,0.0003481814,0.0006868656,0.00005296043,0.0002701893,0.00007560731,0.01002126],"category_scores_gemma":[0.0001817575,0.0003392647,0.0002799839,0.000529805,0.0001048678,0.00006248186,0.0001132366,0.0004505737,0.00003568275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002733991,"about_ca_system_score_gemma":0.0005186556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001393461,"about_ca_topic_score_gemma":0.00001302466,"domain_scores_codex":[0.9964951,0.0004333664,0.0006112477,0.0006029794,0.001300406,0.0005568461],"domain_scores_gemma":[0.9971732,0.001590227,0.0002162328,0.0004111781,0.00007202038,0.0005371232],"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":[0.0004991972,0.001595074,0.03835209,0.0006906297,0.0001573799,0.0006001178,0.0002732015,0.8782665,0.00005438094,0.0008844506,0.07479976,0.003827275],"study_design_scores_gemma":[0.004506989,0.001160483,0.01173666,0.0001213881,0.000266679,0.00007196171,0.0002190117,0.9524546,0.00002526957,0.00001032938,0.02912629,0.0003003347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6563243,0.001332764,0.1043681,0.2209575,0.00350351,0.008296615,0.0005431741,0.003957456,0.0007166312],"genre_scores_gemma":[0.9063287,0.000002590572,0.0003002323,0.09094078,0.0003801112,0.001703383,0.0002620361,0.00005338901,0.00002875075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2500044,"threshold_uncertainty_score":0.9999059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03062944085696093,"score_gpt":0.2883549807162843,"score_spread":0.2577255398593234,"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."}}