{"id":"W4414165728","doi":"10.1109/access.2025.3607989","title":"Classification of Psoriasis Using Vision Transformer: A Deep Learning-Based Approach","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Psoriasis: Treatment and Pathogenesis","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Psoriasis; Convolutional neural network; Pattern recognition (psychology); Deep learning; Skin lesion; Feature extraction; Dermatological diseases; Reliability (semiconductor)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004314559,0.0007058732,0.0006165389,0.001051931,0.0001994633,0.0007143854,0.0008759658,0.0006910929,0.001441988],"category_scores_gemma":[0.0008059949,0.0002803574,0.0008598697,0.0006230465,0.0002461094,0.0005999354,0.0006322492,0.0008642531,0.0005832648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006183794,"about_ca_system_score_gemma":0.0006784588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005094416,"about_ca_topic_score_gemma":0.005232998,"domain_scores_codex":[0.999737,0.00003046871,0.00001742706,0.00007671522,0.00007853567,0.00005988266],"domain_scores_gemma":[0.9997905,0.00005187012,0.00002595583,0.00002177985,0.00008927863,0.00002066315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004966398,0.0005776329,0.008501962,0.0001930872,0.000168064,0.0002884659,0.00007816993,0.1628019,0.06027143,0.002260713,0.006670161,0.7576918],"study_design_scores_gemma":[0.00001074383,0.00009449674,0.001216939,0.000009128326,0.00002943065,0.00008933753,0.00001971262,0.9891132,0.007823491,0.0009892748,0.0005948943,0.000009376462],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2106156,0.001498511,0.7780215,0.0005771319,0.000219702,0.0002313855,0.0005553376,0.003528534,0.004752207],"genre_scores_gemma":[0.89627,0.0006875342,0.09616332,0.0003943099,0.0001005411,0.000088435,0.001232068,0.00006268702,0.005000992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005094416,"threshold_uncertainty_score":0.01012951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03645217943522331,"score_gpt":0.3134857551445001,"score_spread":0.2770335757092767,"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."}}