{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003003708,0.0008872988,0.0006023935,0.001127078,0.0004067605,0.0006383069,0.0008677139,0.0007379579,0.002449611],"category_scores_gemma":[0.0005582849,0.0003135836,0.0005685808,0.0003576204,0.000140275,0.0005163045,0.0005318563,0.000684245,0.0009229822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007904442,"about_ca_system_score_gemma":0.000853688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01294101,"about_ca_topic_score_gemma":0.01413493,"domain_scores_codex":[0.9997941,0.00001080688,0.00001855268,0.00007376476,0.00005094316,0.00005194594],"domain_scores_gemma":[0.9998631,0.00002214126,0.00001739771,0.000009775953,0.0000681521,0.00001932796],"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":[0.001011664,0.0006101017,0.02029128,0.0003403813,0.000205605,0.001414766,0.00009223103,0.05243817,0.06615798,0.001281033,0.02140911,0.8347477],"study_design_scores_gemma":[0.00004886857,0.0002181984,0.006042477,0.00004540532,0.00009008731,0.0005115016,0.00003899358,0.9592069,0.02849388,0.0009837351,0.004285442,0.0000343998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2760948,0.004329065,0.6758787,0.001264205,0.00096509,0.0006092499,0.003433581,0.02350085,0.01392434],"genre_scores_gemma":[0.8169703,0.001396697,0.1621183,0.0006880658,0.0001798296,0.0002269108,0.005206645,0.0001480784,0.01306511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01294101,"threshold_uncertainty_score":0.02573138,"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."}}