{"id":"W4411975894","doi":"10.3390/diagnostics15131698","title":"Breaking Diagnostic Barriers: Vision Transformers Redefine Monkeypox Detection","year":2025,"lang":"en","type":"article","venue":"Diagnostics","topic":"Poxvirus research and outbreaks","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada); University of Toronto","funders":"National Research Foundation of Korea; Kumoh National Institute of Technology; National Research Foundation","keywords":"Interpretability; Computer science; Artificial intelligence; Machine learning; Convolutional neural network; Transfer of learning; Deep learning; Pattern recognition (psychology); Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002499073,0.0002161463,0.0002635414,0.0002745438,0.0004084973,0.00004398686,0.000233619,0.0003174129,0.0003524864],"category_scores_gemma":[0.005687491,0.0002018394,0.0001224646,0.0004014362,0.0002328406,0.0001255436,0.00007860214,0.0004673943,0.0005968719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009424077,"about_ca_system_score_gemma":0.00013745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003325781,"about_ca_topic_score_gemma":0.0003408169,"domain_scores_codex":[0.9985042,0.0001519596,0.0003179648,0.0003486332,0.00007030545,0.0006069177],"domain_scores_gemma":[0.9969115,0.002593654,0.00005329346,0.0002653557,0.0001004728,0.00007572306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005574711,0.0003352032,0.0181386,0.0001696244,0.0005340736,0.0001133903,0.0007322234,0.00005003984,0.2685117,0.003878323,0.04060909,0.6663702],"study_design_scores_gemma":[0.00373193,0.000637416,0.04990951,0.0004889122,0.0002269496,0.00005146728,0.0006269671,0.0001062055,0.4330725,0.00194266,0.5086121,0.0005933986],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9017843,0.02593571,0.02418087,0.002544079,0.005394145,0.00161511,0.0003666781,0.0006595071,0.03751961],"genre_scores_gemma":[0.99501,0.003075303,0.00003370662,0.0005176028,0.00004170645,0.00007125623,0.00009861997,0.00001923366,0.001132575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6657768,"threshold_uncertainty_score":0.8230773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006945192370781756,"score_gpt":0.2679890247542259,"score_spread":0.2610438323834441,"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."}}