{"id":"W3184022886","doi":"10.18280/ts.380309","title":"A Hybrid Capsule Network for Pneumonia Detection Using Image Augmentation Based on Generative Adversarial Network","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generative adversarial network; Computer science; Artificial intelligence; Pneumonia; Image (mathematics); Pattern recognition (psychology); Transfer of learning; Deep learning; Capsule; Generative grammar; Contextual image classification; Machine learning; Medicine; Biology","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":[0.000660994,0.001026379,0.0006743531,0.0005173947,0.0002005028,0.0004832722,0.001039202,0.0007665929,0.001322546],"category_scores_gemma":[0.001242543,0.0002821484,0.0006612501,0.0003652913,0.0004786854,0.0008465387,0.0008969979,0.001059328,0.0004484943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005565303,"about_ca_system_score_gemma":0.0004800732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003408673,"about_ca_topic_score_gemma":0.003592356,"domain_scores_codex":[0.9997624,0.00005024604,0.000009770224,0.00007450164,0.00005968532,0.00004336786],"domain_scores_gemma":[0.9996418,0.0001687894,0.00004066947,0.00004676547,0.00007261369,0.00002939386],"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":[0.0004943417,0.0002277451,0.003843832,0.0001155726,0.0001558912,0.0003457839,0.00008055584,0.6665373,0.02305829,0.004268019,0.005526364,0.2953462],"study_design_scores_gemma":[0.000004413856,0.00004757386,0.0002373631,0.000004306661,0.00001191717,0.00003882343,0.000003492796,0.9963342,0.002370434,0.0005939949,0.0003477396,0.000005719203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08100858,0.0009596164,0.9106442,0.000437603,0.0001606583,0.0001095021,0.0002588006,0.002815053,0.003606057],"genre_scores_gemma":[0.8371206,0.0004645263,0.1542875,0.0005122883,0.0000928484,0.000152654,0.000993521,0.0001254392,0.00625073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003408673,"threshold_uncertainty_score":0.006777644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03111456663496383,"score_gpt":0.3038738100161285,"score_spread":0.2727592433811646,"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."}}