{"id":"W2758673020","doi":"10.1504/ijhfms.2017.10008128","title":"Toward a quantified assessment of total body surface area from anthropometric measurements for patients with burn injuries","year":2017,"lang":"en","type":"article","venue":"International Journal of Human Factors Modelling and Simulation","topic":"Pressure Ulcer Prevention and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; École de Technologie Supérieure; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Total body surface area; Body surface area; Anthropometry; Body surface; Software; Burn injury; Poison control; Medicine; Computer science; Emergency medicine; Surgery; Mathematics; Geometry; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004787427,0.0001174631,0.000262684,0.0002062677,0.0004489659,0.00006690569,0.0002135446,0.00006344273,0.00005785255],"category_scores_gemma":[0.0001039499,0.00008996821,0.00008090179,0.00002538203,0.00004641425,0.0004296156,0.00006980824,0.0001596666,3.110252e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008564128,"about_ca_system_score_gemma":0.00005341475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002028671,"about_ca_topic_score_gemma":0.00001284444,"domain_scores_codex":[0.9983709,0.00008963476,0.000629384,0.0001398245,0.000650313,0.0001199637],"domain_scores_gemma":[0.9968061,0.0002416778,0.001446791,0.0001428637,0.00130393,0.00005858807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003516382,0.0003655109,0.7142668,0.00005832296,0.0005724798,6.803015e-7,0.001515034,0.2819468,0.000276114,0.0003411557,0.00004575451,0.0002596452],"study_design_scores_gemma":[0.006035564,0.0005541159,0.6998649,0.0005648819,0.0002135103,9.859271e-8,0.0005771023,0.2890068,0.0002515032,0.002544956,0.0001671098,0.0002195386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7491562,0.00002001214,0.2497135,0.00005175385,0.0005990295,0.0002840818,0.00005282004,0.000006158343,0.0001164427],"genre_scores_gemma":[0.9978873,0.00001323882,0.001836441,0.000009424436,0.00008788472,0.000002623274,0.00006812725,0.00001205886,0.00008285956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2487312,"threshold_uncertainty_score":0.3668797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2129961380532744,"score_gpt":0.4630575813573914,"score_spread":0.2500614433041171,"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."}}