{"id":"W2109486685","doi":"10.1117/1.3535592","title":"Assessing diabetic foot ulcer development risk with hyperspectral tissue oximetry","year":2011,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Diabetic Foot Ulcer Assessment and Management","field":"Medicine","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Diabetic foot ulcer; Hyperspectral imaging; Diabetes mellitus; Diabetic foot; Foot (prosody); Surgery; Artificial intelligence; Computer science","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":[0.0008467428,0.0003022458,0.0003136173,0.001042289,0.0001111646,0.0004007889,0.0001585766,0.000244991,0.000501646],"category_scores_gemma":[0.002549621,0.000125365,0.0002045956,0.0004742779,0.000102488,0.0002536928,0.0002343013,0.0002866365,0.0001200477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001099044,"about_ca_system_score_gemma":0.0001003319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006703266,"about_ca_topic_score_gemma":0.0007751135,"domain_scores_codex":[0.9995994,0.0001603235,0.00003452697,0.00004083938,0.0001284777,0.00003647402],"domain_scores_gemma":[0.9987809,0.0005160132,0.000339743,0.00005098228,0.0002255893,0.00008676175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001001694,0.0002553673,0.9326559,0.00004211115,0.00007714127,0.0001696962,0.0001119532,0.001342094,0.01134602,0.00004047647,0.000205312,0.05275219],"study_design_scores_gemma":[0.00002611959,0.001232904,0.9578658,0.00001871735,0.0001041088,0.00111567,0.0001780313,0.02768802,0.01126008,0.0001398244,0.0003418562,0.00002879078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942726,0.0001725108,0.004864006,0.00002236242,0.000004519114,0.00002543208,0.0000689248,0.00003355716,0.0005359323],"genre_scores_gemma":[0.9927828,0.0001511153,0.006783248,0.00001302045,0.000009535973,0.000014512,0.00008390467,0.000003704997,0.0001579682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001042289,"threshold_uncertainty_score":0.004478037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02829352297962828,"score_gpt":0.2932859361776181,"score_spread":0.2649924131979898,"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."}}