{"id":"W7159933053","doi":"10.2196/77925","title":"Artificial Intelligence-Based Models for Diabetic Foot Ulcer Assessment : A Scoping Review (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetic Foot Ulcer Assessment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diabetic foot; Diabetes mellitus; Ankylosing spondylitis; MEDLINE; Quality of life (healthcare)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008594674,0.0003265455,0.0007806454,0.0002917637,0.0001275742,0.00009212192,0.0002508115,0.00009649098,0.0003144961],"category_scores_gemma":[0.0001194923,0.0002976959,0.0003458399,0.00048542,0.00009597183,0.0001274064,0.0001511453,0.000194485,0.00002829877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001951488,"about_ca_system_score_gemma":0.0004721906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002919436,"about_ca_topic_score_gemma":0.000005325434,"domain_scores_codex":[0.99748,0.00007115393,0.0007934212,0.0006464342,0.0003838682,0.0006251313],"domain_scores_gemma":[0.9984178,0.0003539161,0.0001569957,0.0007118882,0.0002145659,0.0001448281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001567376,0.00308736,0.01279187,0.1450866,0.00113486,0.00000937054,0.0001135638,0.001734833,0.00213398,0.09058215,0.01972665,0.7234421],"study_design_scores_gemma":[0.003348756,0.002832934,0.01002647,0.4406874,0.003969166,5.783816e-7,0.0003463617,0.3072681,0.06218519,0.1563529,0.01065634,0.002325793],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1397388,0.03094639,0.5768242,0.06922409,0.002931444,0.07039061,0.00006588484,0.001612113,0.1082665],"genre_scores_gemma":[0.9657556,0.0006762844,0.01352617,0.008941324,0.0001482914,0.009747606,0.0001180405,0.00005963846,0.001027058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8260167,"threshold_uncertainty_score":0.9999475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04749377541045314,"score_gpt":0.3809604698831384,"score_spread":0.3334666944726853,"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."}}