{"id":"W4410566011","doi":"10.1016/j.jocs.2025.102593","title":"From simulations to surrogates: Neural networks enhancing burn wound healing predictions","year":2025,"lang":"en","type":"article","venue":"Journal of Computational Science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Nederlandse Brandwonden Stichting; Health~Holland","keywords":"Burn wound; Wound healing; Computer science; Medicine; Surgery","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":[0.001042831,0.0005602716,0.0005127537,0.0003944677,0.000208642,0.0008279443,0.0005741463,0.0009948702,0.001279628],"category_scores_gemma":[0.0073783,0.0004171463,0.0003820432,0.0003556146,0.0004622584,0.001067697,0.0006664005,0.001009271,0.0002460369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007366037,"about_ca_system_score_gemma":0.0007930592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007023412,"about_ca_topic_score_gemma":0.005681859,"domain_scores_codex":[0.9997804,0.00009684225,0.00001407555,0.0000368923,0.00005092255,0.00002091735],"domain_scores_gemma":[0.9982089,0.001237086,0.0001595175,0.0001267893,0.0002075347,0.00006010787],"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":[0.00004640047,0.00001712698,0.0008805472,0.00001622113,0.000009638183,0.00001547255,0.00001040984,0.9938033,0.0005250171,0.0005190363,0.0001650466,0.003991919],"study_design_scores_gemma":[0.000001322539,0.000005618306,0.00006101694,0.000002057747,7.327808e-7,0.000001389589,0.000001644067,0.999388,0.0001757944,0.0003211047,0.00004045771,9.652307e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6014778,0.001040957,0.3876362,0.001444411,0.0002256893,0.00008677004,0.0005691551,0.001484824,0.006034113],"genre_scores_gemma":[0.9658522,0.0002213627,0.0323681,0.0001380609,0.00002279166,0.00005899485,0.0003397184,0.00007029383,0.000928335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007023412,"threshold_uncertainty_score":0.01396507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327406559919692,"score_gpt":0.3240790689241173,"score_spread":0.3108050033249203,"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."}}