{"id":"W4392628349","doi":"10.2196/51842","title":"Implementable Prediction of Pressure Injuries in Hospitalized Adults: Model Development and Validation","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Pressure Ulcer Prevention and Management","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging","keywords":"Medicine; Computer science; Medical emergency; Intensive care medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001035889,0.0000974053,0.0001817787,0.0001752137,0.00008977275,0.00001419856,0.0001027027,0.0001487896,0.0004395986],"category_scores_gemma":[0.0000634222,0.00008034622,0.00002254295,0.0001567398,0.00003867233,0.0004272279,0.0002175684,0.0002931208,0.00002021429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004760071,"about_ca_system_score_gemma":0.0002713365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002298223,"about_ca_topic_score_gemma":0.00002636241,"domain_scores_codex":[0.9981116,0.00007472403,0.001022022,0.00008742429,0.0004886214,0.0002155878],"domain_scores_gemma":[0.9995201,0.00006929506,0.0001338587,0.0001216532,0.00005204359,0.0001030647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003379066,0.0005570173,0.03683993,0.05593368,0.0006405982,0.000006643565,0.465535,0.0003499027,0.00003645881,0.08765697,0.1817377,0.1703682],"study_design_scores_gemma":[0.003551284,0.000109624,0.01538783,0.004828395,0.00008957395,0.000001097451,0.01709972,0.502711,0.0002357771,0.002841012,0.4528771,0.0002675876],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9046279,0.0007344077,0.06734903,0.001242597,0.0009572865,0.004377612,0.0001756152,0.0004140688,0.02012145],"genre_scores_gemma":[0.9913331,0.000244896,0.005661418,0.0004475803,0.00004591446,0.0006565023,0.0001872708,0.00001305417,0.001410308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5023611,"threshold_uncertainty_score":0.4813296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02879918441466576,"score_gpt":0.3861523892733785,"score_spread":0.3573532048587127,"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."}}