{"id":"W3206234077","doi":"10.2196/22798","title":"Deep Learning–Assisted Burn Wound Diagnosis: Diagnostic Model Development Study","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Burn Injury Management and Outcomes","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Taiwan University; Far Eastern Memorial Hospital","keywords":"Burn wound; Total body surface area; Medicine; Burn injury; Deep learning; Artificial intelligence; Computer science; Surgery; Wound healing","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":[0.002354255,0.00102733,0.0006392889,0.0008535192,0.000282571,0.0008139795,0.001134113,0.001056687,0.002041813],"category_scores_gemma":[0.005639418,0.0003572018,0.0007425252,0.0006306415,0.0003139653,0.0008753605,0.0008017168,0.001490775,0.0004027372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235247,"about_ca_system_score_gemma":0.001285509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009415266,"about_ca_topic_score_gemma":0.005579732,"domain_scores_codex":[0.9993622,0.0002001244,0.00004510986,0.0001554701,0.0001326812,0.0001043627],"domain_scores_gemma":[0.996621,0.002114186,0.000197591,0.0001882595,0.000751249,0.000127716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001279491,0.001972987,0.04043363,0.0005075297,0.0003739246,0.0004030639,0.0001260407,0.6089948,0.003797372,0.002740476,0.00699078,0.3323799],"study_design_scores_gemma":[0.00001151486,0.0001058468,0.0009180701,0.00001147253,0.00001585976,0.00002850474,0.00001082262,0.9976108,0.000765298,0.0003133912,0.0002043445,0.000004056612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.757379,0.005868046,0.2266673,0.001573902,0.0002694954,0.0003880804,0.001013911,0.001283517,0.005556692],"genre_scores_gemma":[0.9615508,0.0008113908,0.03405088,0.0001895039,0.00005134544,0.000129264,0.001002168,0.00003385741,0.002180748],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009415266,"threshold_uncertainty_score":0.01872092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0302818809114154,"score_gpt":0.3175529287795216,"score_spread":0.2872710478681061,"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."}}