{"id":"W4413812319","doi":"10.2196/75015","title":"COVID-19 Pneumonia Diagnosis Using Medical Images: Deep Learning–Based Transfer Learning Approach","year":2025,"lang":"en","type":"article","venue":"JMIRx Med","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Coronavirus disease 2019 (COVID-19); Transfer of learning; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pneumonia; 2019-20 coronavirus outbreak; Deep learning; Artificial intelligence; Computer science; Virology; Medicine; Infectious disease (medical specialty); Pathology; World Wide Web; 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":[0.0007552818,0.001214401,0.0006675985,0.001532524,0.0002533744,0.0007433858,0.001081073,0.001359966,0.001966237],"category_scores_gemma":[0.001686805,0.0003435839,0.0008995707,0.0005961407,0.0002966353,0.0007140532,0.0008386096,0.001104989,0.001100185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008885624,"about_ca_system_score_gemma":0.0009693792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006943986,"about_ca_topic_score_gemma":0.005836009,"domain_scores_codex":[0.9996372,0.00006167707,0.00002421014,0.0001218669,0.00008230871,0.00007266677],"domain_scores_gemma":[0.9996582,0.0001139326,0.00004158508,0.00003271118,0.0001191581,0.0000343837],"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":[0.0007290118,0.0006672877,0.01109267,0.0002767775,0.0002346402,0.0006805598,0.00008306688,0.2229516,0.02055334,0.001625136,0.01411197,0.726994],"study_design_scores_gemma":[0.00001163366,0.00007362777,0.001174407,0.00001876717,0.00002318701,0.0001038604,0.00001456521,0.9921221,0.00446017,0.001185622,0.0008019956,0.00001021775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2205133,0.004285839,0.7549574,0.002066107,0.0003807208,0.0004813288,0.002132569,0.008056611,0.007126188],"genre_scores_gemma":[0.8427009,0.001309429,0.1449482,0.0008245589,0.0002125993,0.0002346882,0.003217446,0.0001156083,0.006436512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006943986,"threshold_uncertainty_score":0.01380718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03587313905863811,"score_gpt":0.3548877279588579,"score_spread":0.3190145889002198,"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."}}