{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005195865,0.0002646112,0.0005227104,0.0001539352,0.0001926895,0.00008906459,0.0002220157,0.0001971698,0.001201861],"category_scores_gemma":[0.001805705,0.0002130903,0.0001142773,0.0004166386,0.00008214865,0.0002196347,0.0003357866,0.0007187598,0.0003887052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001314789,"about_ca_system_score_gemma":0.0004009767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002462169,"about_ca_topic_score_gemma":0.00002869552,"domain_scores_codex":[0.9967525,0.00005827558,0.001036074,0.0001756808,0.001523818,0.0004536627],"domain_scores_gemma":[0.9983021,0.0004461873,0.0001770305,0.0003709116,0.0001954229,0.0005083341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001252507,0.005513708,0.6139467,0.001802051,0.001207163,0.00176455,0.04604859,0.0004304697,0.000002879958,0.0005915531,0.01859106,0.309976],"study_design_scores_gemma":[0.01455703,0.001241059,0.5257084,0.001521346,0.0008792608,0.0002819923,0.05935422,0.1959713,0.000258035,0.0001947117,0.1986056,0.001427101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790801,0.0002838838,0.006904571,0.001424824,0.0003014609,0.001157415,9.21754e-7,0.0002954532,0.01055133],"genre_scores_gemma":[0.9848592,0.0002748616,0.005510383,0.004009182,0.0001434597,0.0005863514,0.0001159356,0.00003376337,0.0044669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3085489,"threshold_uncertainty_score":0.9997112,"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."}}