{"id":"W3144948800","doi":"10.18280/ts.380117","title":"Classification of Pneumonia Cell Images Using Improved ResNet50 Model","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pneumonia; Medical diagnosis; Lung; Computer science; Bacterial pneumonia; Disease; Artificial intelligence; Imaging technique; Medicine; Pattern recognition (psychology); Radiology; Pathology; Internal medicine","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":[0.0007589228,0.001538006,0.0009253385,0.002083427,0.0004171072,0.0009909936,0.001357061,0.00130449,0.001930226],"category_scores_gemma":[0.001257341,0.000283658,0.001368029,0.0007621933,0.000291836,0.0008821263,0.0004760771,0.0009772456,0.001213912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336784,"about_ca_system_score_gemma":0.001199491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02679189,"about_ca_topic_score_gemma":0.02099761,"domain_scores_codex":[0.999613,0.00004554078,0.00003816675,0.0001096807,0.0001025906,0.0000910657],"domain_scores_gemma":[0.9996824,0.00006587224,0.00002518322,0.00002964036,0.0001747182,0.00002225718],"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":[0.001267472,0.0009538685,0.02204922,0.0004681882,0.0004180059,0.001402719,0.0001653177,0.3319721,0.0220118,0.001954151,0.03888331,0.5784538],"study_design_scores_gemma":[0.00001918445,0.0001164831,0.002468627,0.00002906329,0.00004972974,0.0001219944,0.00002961351,0.9900266,0.004851748,0.0005981058,0.001670127,0.00001886697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6873906,0.01022867,0.2544821,0.002736431,0.0028505,0.0009814563,0.00862759,0.01222631,0.0204763],"genre_scores_gemma":[0.8896933,0.002218267,0.08251502,0.0007835936,0.0003848959,0.0003812617,0.01124406,0.0001735663,0.01260602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02679189,"threshold_uncertainty_score":0.05327189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05531974426029505,"score_gpt":0.3176191492742359,"score_spread":0.2622994050139408,"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."}}